Namal Institute

Final Year Projects 2020

Project Title Keywords Student Name(s) Department Details
Pneumonia Diagnosis from X-ray Images Using Deep Learning

Machine Learning Android Development

 Ahmad Ayaz CS More CV
Cattle Price Prediction using Deep Learning Algorithms

Machine Learning Mobile Application Development Web Application Development

 Hamid Naseem, Usama Tehmas CS More CV
Bringing Books to Life

Unity AR Mobile application Development

 Inbasat Fiza CS More CV
Eye of A Blind Man

Machine Learning Computer Vision Android Application Development

 Nadeem Abbas CS More CV
Uber for Trucking

Mobile Application Development Web Application Development Computer Vision Graphic Designing

 Muhammad Aqil CS More CV
Soil Analysis Using Machine Learning

Mobile Application Development Web Application Development Artificial Intelligence(ML+DL) Data Mining Data Analytics IoT

 Muhammad Zeeshan Ahmad, Muhammad Waqar CS More CV
Autonomous Checkout System

Mobile Application Development Web Application Development Computer Vision Data Science Computer Networking Machine Learning

 Muhammad Hamza, Mubashar Nisar CS More CV
Note IT

Mobile Application Development Web Application Development Computer Vision Machine Learning

 Munazza Nida, Sana Fatima CS More CV
Disease Diagnosis of High Value Crops Using Machine Learning

Deep Learning Machine Learning Mobile Application Development Web Application Development Computer Vision Cloud Computing Full Stack Database Systems

 Fahad Hussain Malik, Ammar Farooq Khan CS More CV
Sign Language Recognition System

Machine Learning Mobile Application Development Computer Vision

 Mahad Asif, Muhammad Shoaib CS More CV
Waqia Dairy Farm management System

Web Application Development Mobile Application Development

 Samman Urooj CS More CV
AWS Cloud based Lab Management System (LMS)

Cloud Development DevOps Engineering AWS Cloud Development

 Faisal Shahzad, Muhammad Usman Ali CS More CV
Travel with Buraq

Web Development Mobile Application Development Machine Learning Graphic Designing

 Muhammad Azhar ud din CS More CV
Traveling Social and Aggregating Platform with a Recommendation System using Personality Profiling

Web Development Machine Learning

 Hinan Bilal Shah CS More CV
Automated Detection of Cross-site Scripting Vulnerabilities in Web Applications

Cyber Security Web Scraping Web Development

 Muhammad Adnan Shah CS More CV
ARTIFICIALLY INTELLIGENT HOME TRAINING ASSISTANT

Machine learning Computer Vision Android Application Image Processing Data Science

 Syed Ahmed Hasan Ovais CS More CV
Evolving MIMO Multi-Layered ANNs Using Grammatical Evolution

Machine Learning/Deep Learning Bioinformatics Computer Vision

 Muhammad Nafy Khan CS More CV
Intelligent IoT Based Farm Management

Power System Hardware Design Machine Learning

 Aaqib Hussain, Muhammad Imran EE More CV
Design and Development of Solar Powered Electric Car

Power System Control System Hardware Design Renewable Energy Smart Grid Arduino Programming

 Asif Ahmad, Muhammad Iqbal EE More CV
Small Hydro Power Unit For Remote Areas

Hardware Design Power Electronics PCB Designing Communication Systems Machine Learning

 Muhammad Ilyas, Muhammad Mir Hassan, Rafi ud Din EE More CV
An Effecient and Robust Drive for Switch Reluctance Motor

Power System Power Electronics

 Fazal Wahid EE More CV
Solar Powered Electric Boat

Power System Power Electronics Power System Control and Protection

 Mian Yousaf Shah, Junaid Bakhtiar EE More CV
Soft Starting of Single Phase Induction Motor

Hardware Design Control System Embedded System Graphic Designing

 Muhammad Afzal EE More CV
Detection of Crop Disease & Malnutrition using Deep Learning

Machine Learning Mobile Application Development Computer Vision Digital Image Processing Data Science Graphic Designing

 Umair Nawaz, Nishat Ahmed EE More CV
Development of AC-AC Direct Matrix Converter

Power Electronics Power System Control and Protection Hardware Design

 Ansar Abbas Khan, Zubair Iqbal EE More CV
Single-Axis Sun/Solar Tracking with MPPT (Perturb and Observe) Algorithm

Renewable Energy Control Systems Embedded SystemsHardware Design Power Electronics

 Najeeb Ullah Khan EE More CV
State Estimation for Localization of wheeled robot

Power System Control System Microelectronics Logic Designing Energy System Semiconductor Devices Electrical Machine

 Muhammad Khan EE More CV
High Gain Hexagonal Shaped Microstrip Antenna Array for Ground Penetrating Radar (GPR)

Antenna Designing

 Muhammad Waqas EE More CV
Analysis and Design of Sun Tracking System through Arduino without Using External Sensors

Machine Learning Hardware Design Graphic Designing

 Abdul Wahab EE More CV
Autonomous Course keeping Control for a USV

Control Systems Hardware Design Machine Learning Embedded Systems Electronics

 Syed Zohaib Hussain Kazmi, Muhammad Atif Haroon EE More CV
Design and Control of Multi-Terrain Spherical Robot

Power Electronics Robotics Hardware Design Power System Protection Signals and Systems Electrical Energy Systems Computer Networks Digital Systems Image Processing

 Kashif Saeed, Muhammad Sheraz EE More CV
Sensorless Control of 3 phase Switch Reluctance Motor

Control Systems Embedded Systems Hardware Design

 Nasarullah, Waseem Haider EE More CV
Smart Energy Management System

Machine Learning Control System Embedded Systems Energy Informatics Mobile Application Development Controllers

 Tufail Ahmad Siddiq, Muhammad Faiq Kaleem EE More CV
Development of Tele-operated Mobile Robot Manipulator for Application in Hazardous Environment

Embedded Systems Control Systems Machine Learning Computer Vision Artificial Intelligence Wireless Communications Power Systems Control System Hardware Design Graphic Designing Smart Grid Arduino Programming

 Mudassar Nisar, Waqar Hassan EE More CV

 

Bringing Books to Life

Bringing Books to Life is an android application developed to facilitate teachers and students by making learning easier such that students(specifically children) can visualise the concepts in 3D form and understand properly what is being taught to them. Also the teachers can keep track of students' activities.

Unity AR Cyber Security Machine Learning Mobile Applications

Inbasat Fiza

03496164574
fiza447788@gmail.com

C/C++ Java Matlab Prolog SQL React Native Android Studio Unity AR Proteus HTML/CSS

CV / Resume
Bringing Books to Life

 

Pneumonia Diagnosis from X-ray Images Using Deep Learning

Pneumonia Is a severe lung disorder that claims the lives of 92000 children annually. In Pakistan, the doctor to patient ratio is very low which results in a difficult and long process of diagnosing pneumonia that usually requires a trained physician. This project will remove the need of a physician and give an accurate and speedy diagnosis of pneumonia upon the input of an X-ray image of the lungs of a patient.

Machine Learning Android Development

Mubeen Ahmed Shahzad Shah

03319868308
ahmad.ayaz.ckl@gmail.com

C/C++ Java Python Android Studio Matlab

Pneumonia Diagnosis from X-ray Images Using Deep Learning

 

Cattle price prediction using deep learning algorithms

It is an android application for Cattle price prediction using deep learning algorithms. It will help people predict the prices of cattles while making a deal.

Machine Learning Mobile Application Development Web Application Development

Hamid Naseem

03014574829
hamidnaseemawan@gmail.com

C++ Java Python Android Studio Matlab

Usama Tehmas

03055546219
usamatehmas@gmail.com

C++ Java Android Studio

Cattle Price Predictor

 

Eye of A Blind Man

The purpose of the project is to provide full time assistance to the blind people. In order to which a computer vision based venture is being processed to make all the essential indoor conditions accessible for the blind men. The principle thought is to coordinate object recognition (objects + doors + stairs) with profundity estimation and guide route to control a blind with sounds messages.

Machine Learning Computer Vision Android Application Development

Nadeem Abbas

03026358873
abbasmalik.pkm@gmail.com

C/C++, Python, Java, MATLAB, JavaScript, HTML, CSS, php, SQL C++ Java Python Android Studio Matlab JavaScript HTML CSS PHP SQL

Eye of A Blind Man

 

Uber for Trucking

The project aims to build an online platform between shippers (shipment providers) and carriers (truck owners), and it aims to disrupt the traditional way of shipping. It simplifies the trucking business by getting rid of the middleman and connecting the right carrier at the right time with the shipper at the night price.

Mobile Application Development Web Application Development Computer Vision Graphic Designing

Muhammad Aqil

03035106848
1602019@namal.edu.pk

C/C++ Java Android Studio Matlab

Uber for Trucking

 

Soil Analysis Using Machine Learning

Pakistan is a land of versatile soil. Pakistan’s economy is mainly based on agriculture and agricultural productivity depends upon soil type and soil nutrients. Soil nutrients are one of the major factor which is to be considered before doing any cultivation. But the major problem pertaining to the farmers is lack of sufficient knowledge about their soil. Each type of soil has different characteristics i.e. there are various nutrients present in the soil. But deficiency of nutrients leads to decrease the productivity. So there is need of soil analysis. This project aims at analysis of soil dataset using Machine Learning techniques. It focuses on soil texture classification using Artificial Neural Networks. Another important purpose is to predict untested attributes (N, P, K, pH,OM) of soil in particular area using Case Based Reasoning System.

Mobile Application Development Web Application Development Artificial Intelligence(ML+DL) Data Mining Data Analytics IoT

Muhammad Zeeshan Ahmad

03077813949
mzeeshan.namal@gmail.com

C/C++ Java Android Studio Matlab HTML CSS JavaScript

Muhammad Waqar

03003452077
waqar.namalite@gmail.com

C/C++ Java Python Android Studio Matlab HTML5 CSS3 JavaScript PHP SQL

Soil Analysis using Machine Learning

 

Autonomous Checkout System

This project envision the possibility to walk in, grab whatever you like and leave with a self-checkout system. But for starters, given Pakistani society's ethical understanding shoplifting is a serious issue . Keeping in view this there is need to develop an intelligent camera-based system that keeps track of customers and items they picked from the store.

Mobile Application Development Web Application Development Computer Vision Data Science Computer Networking Machine Learning

Muhammad Hamza

03053467695
mhamzasakhi@gmail.com

AngularJS Laravel C/C++ Java Python Android Studio Matlab HTML5 CSS3/Bootstrap JavaScript/JQuery Shell Scripting Latex Arduino Git/Github PHP SQL

Mubashar Nisar

03064867858
1602005@namal.edu.pk

OpenCV Tensor flow Keras Kinetic OpenPose C/C++ Java Python Android Studio Matlab HTML5 CSS3 JavaScript PHP SQL

Autonomous Checkout System

 

Note IT

An app that gets handwritten notes and generate best quality editable notes. A very user-friendly tool available at your palm-phone.

Mobile Application Development Web Application Development Computer Vision Machine Learning

Munazza Nida

03111787971
munazzanida.mn@gmail.com

C/C++ Java Android Studio Matlab HTML CSS JavaScript PHP Spyder Eclipse/Code Blocks

Sana Fatima

03056389166
sanaf8865@gmail.com

React Native .NET C# C/C++ Java Python Android Studio Matlab

Note IT

 

Disease Diagnosis of High Value Crops Using Machine Learning

Machine Learning Based Mobile App, Diagnosing Diseases Using Leaf Images, Recommendation of Pesticides and Spray, Urdu and English Language

Deep Learning Machine Learning Mobile Application Development Web Application Development Computer Vision Cloud Computing Full Stack Database Systems

Fahad Hussain Malik

03472009001
fahad.namal@gmail.com

Python C++ Java React JS Node JS React Native Graphql Mongodb SQL Firebase OpenCV Keras Matlab TensorFlow HTML/CSS/BootStrap JavaScript/JQuery PHP Wordpress

Ammar Farooq Khan

03070304108
ammar.namal@gmail.com

Python Java C++ OpenCV Keras Matlab TensorFlow PyTorch Android Studio Google Colab SSDT-BI SQL SMS Visual Studio Tableau Gretl Anaconda SQL Oracle

Disease Diagnosis of High-Value Crops Using Machine Learning

 

Sign Language Recognition System

Our aim is to develop a sign language recognition app capable enough to translate the most commonly expressed hand gestures used in sign language by the deaf and mute people into textual form. The android app uses the smartphone's camera to capture the real-time visual data (video) of deaf or a mute person, perform the hand detection, crop the hand gesture from the whole image, predict and generate a caption on the screen what the hand gesture is indicating.

Machine Learning Mobile Application Development Computer Vision

Mahad Asif

03089664723
1602009@namal.edu.pk

Python C++ Java Android Studio OpenCV TensorFlow HTML/CSS JavaScript PHP MySQL

Muhammad Shoaib

03429341612
shoaib3822@gmail.com

Python Java C++ Matlab Android Studio Proteus

Sign Language Recognition Application

 

Waqia Dairy Farm management System

A system to facilitate the owner of farm to speed up their work by the means of a web app. The system is divided in different categories that is carried out from a typical farm. It also notifies about new activities of farm.

Web Application Development Mobile Application Development

Samman Urooj

03013961389
1602027@namal.edu.pk

React JS React Native Node JS Android Studio Java C++ .NET MySQL

waqia Dairy Farm management System

 

AWS Cloud based Lab Management System (LMS)

Aim of this project is to build such a system which would allow teachers to manage the students’ labs. Teachers would be able to select the right AWS virtual computer with the installed set of programs, for their labs and give that AWS virtual computers copies to each of the student taking the lab, but within the allocated time limits. Time limits of AWS Virtual computers can be 1,2 or 3 hours and students can use these AWS Virtual computers within this time and after that AWS virtual computers would be destroyed.

Cloud Development DevOps Engineering AWS Cloud Development

Faisal Shahzad

03030364537
1602024@namal.edu.pk

AWS PHP Android C/C++ Java Python HTML/CSS (BootStrap) JavaScript PHP Matlab Jupyter Notebook Wireshark Anaconda

M. Usman Ali

03015595176
1602033@namal.edu.pk

Android Studio C/C++ Java Terraform VIMSQLiteJavaScriptC/C++/JavaAndroid Studio UbuntuLaTex

AWS Cloud based Lab Management System

 

Travel with Buraq

An Android app that would be your best travel partner.

Web Development Mobile Application Development Machine Learning Graphic Designing

Muhammad Azhar ud din

03365161666
1602023@namal.edu.pk

C/C++ Java Android Studio

Travel with Buraq

 

Traveling Social and Aggregating Platform with a Recommendation System using Personality Profiling

Even in this modern Era of tech, traveling is exhausting. No places for travelers to share and ask. No place for them to aggregate suitable packages. No assurance of their experience being spoiled. Our Platform acts as a dedicated social network for travelers, also as an aggregating platform for comparing and Booking packages. We use personality profiling techniques for recommending that package which ensures our users quality experience.

Web Development Machine Learning

Hinan Bilal Shah

03070644995
1602034@namal.edu.pk

Django Python Flask C/C++ Java Matlab Android Studio

Traveling Social and Aggregating Platform with a Recommendation System using Personality Profiling

 

Automated Detection of Cross-site Scripting Vulnerabilities in Web Applications

Cross-site Scripting (XSS) is the most frequently reported web vulnerability. Compromises the privacy of user data through stealing cookies, usernames and passwords. Web Applications need to be continuously tested and updated. However manual testing is difficult and erroneous. This Automation Tool will help us perform Testing at a larger scale effectively with higher accuracy and minimal human intervention.

Cyber Security Web Scraping Web Development

Muhammad Adnan Shah

03047905911
1602004@namal.edu.pk

Python Scrapy React JS OOP Data Structure Design Patterns

Automated Detection of Cross-site Scripting Vulnerabilities in Web Applications

 

ARTIFICIALLY INTELLIGENT HOME TRAINING ASSISTANT

An Artificially Intelligent performance tracking Android app that acts as a personal fitness trainer for an amateur who wants to keep a track of his/her fitness, even from the comfort of one's home. The app uses deep learning pipeline to classify the exercises and prepares repitition counts per exercise for its user's training program.

Machine learning Computer Vision Android Application Image Processing Data Science

Syed Ahmed Hasan Ovais

03024094606
hasansyed8497@gmail.com

Python C/C++ Java Matlab Android Studio Keras Arduino OpenCV Kotlin HTML5CSS3 JavaScript PHP MySQL

Fitness studio (artificially intelligent home training assistant)

 

Evolving MIMO Multi-Layered ANNs Using Grammatical Evolution

Our aim is to develop a strategy to develop the optimal neural network for the problem at hand. Grammatical Evolution technique is used to evolve large no of candidate solutions. Best performing individuals from each generation are separated and new generation is developed using operations like mutation and crossover. Gradually we move towards optimal network.

Machine Learning/Deep Learning Bioinformatics Computer Vision

Muhammad Nafy Khan

03033264833
1602010@namal.edu.pk

Python Java Matlab C/C++ Assembly Language HTML/CSS

Evolving MIMO Multi-Layered ANNs Using Grammatical Evolution

 

Intelligent IoT Based Farm Management

The efficient management of the dairy farm is important for the health and lifetime of livestock. It needs a lot of labor to have an eye on livestock for 24-hours. Also, it’s possible that workers will miss some symptoms like temperature, blood pressure, lack of rumination, livestock activity and missing of estrus cycle in dairy farm. Any miss in the above indicators can cause a large of financial loss in the farm on an annual basis. Our propose of hardware (sensors package that measures all the above symptoms) and software that will show all health parameters like temperature, blood pressure, physical activities. We also proposed an android based application to show all the parameters to owner of the livestock whenever he wants to observe all above parameters on dashboard. It gives better management of dairy farms at low cost with higher accuracy after installation of the package. It reduces human judgmental error while manual observation of cow’s physical health. Overall, it’s a low-cost and precise physical health monitoring system of livestock as compared to manual observation of labor.

Power System Hardware Design Machine Learning

Aaqib Hussain

03039431263
1601024@namal.edu.pk

Java Matlab C Circuit Design

Muhammad Imran

03027969242
1601008@namal.edu.pk

Java Matlab C Circuit Design Auto Cad

Intelligent IoT Based Farm Management

 

Design and Development of Solar Powered Electric Car

The main objective of this project is to design and implement a prototype of a solar powered electric car which has one person capacity and the maximum speed of 35 to 40km/hr. Electric vehicle (EV) based on electric propulsion system. No internal combustion engine is used, all the power is electric power as the energy source. So it can be considered as a fully eco-friendly vehicle which is the carrying need of present situation of the world. The design consists of two electrical sources these are solar and convention electrical energy from electrical grid station. A feasible alternative source of renewable energy is solar energy. In the proposed design of electric car, flexible photovoltaic cells will be used to convert solar energy in to electrical energy and then it will be injected to the car. For storage of electric energy Lithium ion batteries will be used. In this solar power electric car the solar panel will connect by default with a battery and an additional power source will be used only when power from solar cells is unavailable. The solar energy and electrical energy which is both cost effective and of course environment friendly which will have a positive effect on the environment.

Power System Control System Hardware Design Renewable Energy Smart Grid Arduino Programming

Asif Ahmad

03129236912
1601020@namal.edu.pk

Kicad Github Linux Proteus Orcad Arduino Power Simulators Java Matlab C

Muhammad Iqbal

03439607033
iqbalnamal033@gmail.com

Kicad Proteus PSpice Matlab Python

Design and Development of Solar Powered Electric Car

 

Small Hydro Power Unit For Remote Areas

The generation of electricity from solar or wind turbine dependents on weather conditions and specific locations. Whereas dam/hydropower generation is independent of it, but hydropower generation required a long transmission line to supply power to remote areas. This results in substantial line losses and the cost of a transmission line. Besides, the dam required extensive infrastructure and space, which increased the per-unit production cost of electricity. To overcome these problems, micro-hydropower plant (MHP) is a feasible solution for remote areas and agriculture which can minimize line losses and boost the agriculture and business of people, MHP minimize the civil work and space requirement. Micro Hydropower plant required a small canal where the turbine can be placed. The turbine used in this project is a Pelton wheel turbine, which can be manufactured locally. An induction generator is used to convert mechanical energy into electrical energy. However, the induction generator will provide variable frequency and amplitude depending on the speed of the water. Also, reactive power is required for the operation of the generator, which is supplied by the grid if it is connected to the grid, but in case of standalone operation, this power is provided by the capacitor bank, which can be installed in parallel of the generator. The issue of variable frequency is addressed by using an interfacing cascaded converter system. The cascaded converter will provide a regulated ac-output voltage at fixed frequency despite variation in frequency at the input.

Hardware Design Power Electronics PCB Designing Communication Systems Machine Learning

Muhammad Ilyas

03419076891
ilyaskhan.namal@gmail.com

C Java Python Verilog Proteus KiCad DesignSpark PSPICE Matlab

Muhammad Mir Hassan

03009787683
mirhassan6033@gmail.com

Java Python Matlab Proteus PCB designing Pspice Psim AutoCad Civil Verilog basic Arduino

Rafi ud Din

03021003177
rafiuddin.namal@gmail.com

Java Matlab Proteus

Small Hydro Power Unit For Remote Areas

 

An Effecient and Robust Drive for Switch Reluctance Motor

Many industrial and household applications including electric vehicles required variable speed motor drives, for many year brushless dc motor and induction motors are used for such purposes. The invention of power electronics, make easy the hard and problematic electronic control of switch reluctance motor (SRM) which can provide us more efficient and reliable variable speed drive. Unlike other motors, the control part or driving circuit is an integrated part of SRM. There are many possible topologies of SRM like 10/8, 8/6 and the most common 6/4. This project is an attempt to regulate the speed and torque of 6/4 SRM through asymmetric bridge converter. This converter topology is the most efficient and robust amongst all the till known converter topologies of SRM.

Power System Power Electronics

Fazal Wahid

03088188225
1601012@namal.edu.pk

Java Matlab C Psim eTap PowerWorld Kicad Pspice Autocad Arduino Programming ARM Cortex M

An Effecient and Robust Drive for Switch Reluctance Motor

 

Solar Powered Electric Boat

The objective of this project is to develop a solar-powered electric boat, based on a zero- emission electric propulsion technique. It consists of oars, dc motor, battery, solar panel, propeller, steering, and a potentiometer based motor controller circuit. The power rating of the dc motor is 1.5hp, the battery has 48V, 20A voltage and current ratings respectively, and the solar panel has a power rating of 200W. An efficient boat that will be run by dc motor, the motor will be powered by the lithium-ion battery and this battery will be charged by a solar panel, which is installed on the boat. The speed of the boat can be varied according to the requirement by a potentiometer based motor controller circuit. This proposed boat will be more economical, environment-friendly, and efficient as compared to the conventional boats. Likewise, this boat will be suitable for different maritime applications like transportation, sports, etc. Therefore, solar power electric boat will attract huge commercial attention, as it will not consume hydrocarbons based expensive fuel, and also it will operate without making any type of pollution.

Power System Power Electronics Power System Control and Protection

Junaid Bakhtiar

03479300417
1601031@namal.edu.pk

Proteus Matlab C ETAP Java AUTOCAD KICAD PSPICE Cortex M4 PowerWorld Python P-Sim Assembly Language verilog HDL

Mian Yousaf Shah

03335958569
mianyousafshah99@gmail.com

Proteus Matlab C ETAP Java AUTOCAD KICAD PSPICE ARM Cortex M PowerWorld Arduino PCB designing Microsoft office verilog HDL

Solar Powered Electric Boat

 

Soft Starting of Single Phase Induction Motor

Electric motors specially the three-phase induction motor consume high amount of the energy generated in the industrialized countries. These motors have a long life span and rugged in structure, such that the requirement and maintenance cost is the least. In industrial environment, induction motor needs starting first and variable speed operation next. In the present work, an attempt has been made to make a soft starter for soft starting of induction motor (IM). An uncontrolled starting may causes trips in either overload or underload relay, resulting in a starting failure. This creates difficulties for field engineers since the motor cannot be reenergized until it is cool down to an allowable temperature in a long period of time. Furthermore, the number of starts per day is limited. Therefor the current and torque profile of the motor are carefully tailored according to the need of the load. A soft starter is thyristorised ac voltage regulator which applies reduced voltage at the start to the motor and increases the applied voltage with limit on motor current. Soft starter is used to smoothly start a single phase or a three-phase induction motor. But this project is only for soft starting of single-phase induction motor (IM). In this project Arduino Uno is used, to provide firing angle control signal to thyristor. We need soft starter for IM, because initially when power is applied to induction motor it draws high current then the rated current of the IM. This inrush current is very dangerous because it can damage the induction motor winding and is also wastage of resources.

Hardware Design Control System Embedded System Graphic Designing

Muhammad Afzal

03479884443
1601019@namal.edu.pk

Proteus Matlab C Python Java Mikro C ARCAD PSPICE Arduino PCB designing Microsoft office verilog HDL

Soft Starting of Single Phase Induction Motor

 

Detection of Crop Disease & Malnutrition using Deep Learning

Agriculture plays a vital role in a country’s economy. A country is dependent over the agriculture not just economically but for the basic food production. For this purpose, different crops and vegetables are sowed by farmers to make good profit and provide quality food to consumers. But a certain attack of disease can spoil all the labor work resulting in a great loss. A major decrease in crop production may be due to not identifying crop diseases in time. Crop diseases are one of the important factors that affect the productivity of the crop by 20-30 percent. Farmers are more concerned with the diseases of crops as it can results in lower yield. Generally, typical farmers rely on the opinions of experts and their own past experiences. Based on these observations, farmers utilize an unbalanced amount of pesticides or fertilizers on their crops which can further destroy the field rather than diagnosing. We provide an optimum and technical solution to detection of crop diseases using Mobile Application. A farmer will be notified if the crop has a certain disease or the crop is suffering from malnutrition. Our end-product will ask the farmer to take an image of crop leaf from its field. The image will be processed by a Deep Learning model trained on image data set of Corn as for now the only focus is the Corn crop. The trained model serves its objective by classifying crop disease or providing information about nutrients. After the disease is classified, the farmer is provided with a solution for his diagnosis. The solution is based on the opinions of agriculture experts. If the farmer felt satisfied with the solution, he is asked for some other information about his name, present location, mobile number and his feedback on our application in a very user friendly way. All these information is stored on a database to improve the quality of services provided.

Machine Learning Mobile Application Development Computer Vision Digital Image Processing Data Science Graphic Designing

Umair Nawaz

03149809502
umairnawaz213@gmail.com

Java Matlab C Proteus Python ARM Verilog OpenCV

Nishat Ahmed

03038492297
nishatahmed463@gmail.com

Java Matlab Android Studio Pyhton

Detection of Crop Disease & Malnutrition using Deep Learning

 

Development of AC-AC Direct Matrix Converter

Matrix converter is an array of controlled semiconductor switches that directly connect three phase source to three phase load. It provide desirable variable voltage and frequency at output. It is the best alternative to variable frequency drives and conventional converters, because in matrix converter there is no need of bulky reactive energy storing elements which have limited life. Matrix converter uses fully controlled bidirectional semiconductor switches which directly interface the input to a load for direct conversion from AC to AC in single stage. These switches are arrange so that any of output phase can be connected to any of the input phase. Space Vector Pulse Width Modulation (SVPWM) technique is considered suitable for controlling the matrix converter for getting maximum voltage transfer ratio and minimum harmonic distortions. For proper functioning of direct matrix converter, gate driver circuit, protection against over voltage and short circuit, filters and commutation process are designed in this project. The advantages of this converter are: fully controlled output voltage and output frequency, no need of energy storing elements, higher lifetime, bidirectional power flow, high efficiency, low switching losses, sinusoidal output voltage with low harmonics, four quadrant operation, small size, and low price. There are several applications of direct matrix converter: Speed control of AC machines, wind energy conversion system, micro grids, pumps, fans, paper, and textile mills, electric vehicles, submarines etc.

Power Electronics Power System Control and Protection Hardware Design

Ansar Abbas Khan

03074813638
1601017@namal.edu.pk

Proteus Matlab C Python Java Mikro C ORCAD ETAP Arduino Power World Simulator Microsoft office verilog HDL

Zubair Iqbal

03015661808
Zubairiqbal464@gmail.com

Proteus Matlab C/C++ Python Java Microsoft office

Development of AC-AC Direct Matrix Converter

 

Single-Axis Sun/Solar Tracking with MPPT (Perturb and Observe) Algorithm

Limited non-renewable energy resources and increasing power demand is a major topic of conc-ern around the world now a day. That’s why, renewable energy sources are being widely used to meet the increasing power demand of the current times, and solar energy is one of the cheap renewable energy sources. In this project, a solar tracking system is designed to extract the solar energy, efficiently. As designed project is able to track the direction of incoming intense light. When the intensity of light is decreased, this system automatically changes its direction to get the maximum intensity of light. Light dependent resistor is used to trace the coordinates of the sun. While to rotate solar panel (of power rating 50W) in appropriate position, a dc geared motor (with ratings of 12V & 2A) is used, which is controlled by an Arduino UNO. A dc SEPIC power converter with MPPT algorithm is used to charge the battery, optimistically. This project is designed for a single-axis orientation, having efficiency of “X” and can be deployed for the residential usage due to its low price, and smaller size.

Renewable Energy Control Systems Embedded Systems Hardware Design Power Electronics

Najeeb Ullah Khan

03432722568
najeebullahkhan372@gmail.com

Proteus Matlab OrCAD Arduino AutoCAD CJavaPythonETAP PowerWorldSimulatorSimulinkKiCad

Single-Axis Sun/Solar Tracking with MPPT (Perturb and Observe) Algorithm

 

State Estimation for Localization of wheeled robot

Robot localization answers the question: where is the robot now? A reasonable answer to this question is required to perform navigation tasks without human intervention. The mobile robot localization system is implemented based on an Extended Kalman filter estimator for an indoor autonomous mobile robot. Two feedback loop is used to navigate the robot in an indoor environment, One is a wheel encoder and the other one is the camera (visual system). The predictive phase of the extended Kalman filter is done by encoder reading in the unicycle model and both sensors (wheel’s encoder and the camera) information is used to estimate the location of the robot. Simulation of extended Kalman filter is done by considering the random walk of the robot in Matlab. From the result, it is observed that the estimation track the true state with reasonable covariance. To test the simulation results in real scenarios, a wheeled mobile robot is built and the arena is used as a controlled environment. USB Camera is mounted on the roof that covers the whole arena. To find the pose of the wheeled mobile robot using a visual system, three-color led in triangular-shaped is mounted on the robot black surface. Opto interrupter is used to count the rpm of the motor. To communicate with the robot, the HC-12 communication module is used. Arduino is used as a microcontroller. The main processing is done on PC (Matlab) and extracted information is send to the microcontroller through HC-12. The system that is presented is simple, cheap and easily implemented in the industrial indoor environment.

Power System Control System Microelectronics Logic Designing Energy System Semiconductor Devices Electrical Machine

Muhammad Khan

03082485901
1601015@namal.edu.pk

Java Matlab C Proteus Kicad PWS autocad python

State Estimation for Localization of wheeled robot

 

High Gain Hexagonal Shaped Microstrip Antenna Array for Ground Penetrating Radar (GPR)

This final year project presents a high gain hexagonal shaped microstrip 4x4 antenna array, designed for ground penetrating radar (GPR) applications. Simulation and measured results showed high gain, i.e., 19.46 dBi and 17.57 dBi respectively. Corporate-feed network with microstrip lines is designed for 4x4 array. Quarter wave transformers (QWT) are designed for impedance matching/ tuning. Commercially available RO 3003® is used as a substrate material, whose dielectric constant is 3. Full Wave Microwave simulator and anechoic chamber are used for simulation and measurement respectively. Good matching is observed between simulation and measurement.

Antenna Designing

Muhammad Waqas

03480934460
1601016@namal.edu.pk

CST Microwave Studio Suite Matlab PCB Fabrication Antenna Testing MS Office Suite

High Gain Hexagonal Shaped Microstrip Antenna Array for Ground Penetrating Radar (GPR)

 

 Analysis and Design of Sun Tracking System through Arduino without Using External Sensors

Today, there are several research projects all around the world at the universities and industry to utilize this concept of an automatic microcontroller based sun tracker system. There were some advances in this area in 1950s after scientists learned more about the system (photovoltaic conversion panels). In this project, the analysis and design of an automatic microcontroller based sun tracker system are studied. Operation principles of these systems are explained, and components of the system are described. Dual-axis sun tracker device functions are one of the most critical tasks, and a chapter is devoted to ensuring the optimization of the photovoltaic panel following the real position of the sun. The operation of the experimental model of the device based on a DC motor, which is intelligently controlled by a dedicated drive unit that moves a mini PV panel according to the signals received by a microcontroller, which is programmed mathematically. Furthermore, the performance and characteristics of the sun tracker are experimentally analyzed. Also, simulation results obtained for a coordinate, date, and time as input signals, and the output will be the Elevation, and the user gives azimuth Angle of the Sun on that specific input.

Machine Learning Hardware Design Graphic Designing

Abdul Wahab

03041558109
1601039@namal.edu.pk

Java Matlab C Arduino Adobe Illustrator Proteus

Analysis and Design of Sun Tracking System through Arduino without Using External Sensors

 

Autonomous Course keeping Control for a USV

This project aims to build such a control system for a small boat to automate its navigation so it can move from one point to another point without the help of remote control or an operator this boat will be used for different applications such as measuring the depth of water and the flow of water in environments like lakes and canals. In this project, we will be designing a control system to automate the navigation of the boat we have to control its position and heading, to obtain the position of the boat we are using GPS and for the heading of the boat we are using a digital compass to get its heading. Readings are sent to a remote computer where computation is done on the MATLAB, and these readings are sent through serial communication between the onboard controller and that remote computer and then MATLAB send a command to the onboard controller and then that controller will send commands to actuators which are two underwater propellers. All the readings are saved in MATLAB which includes position, heading, and states of actuators of the boat at different instants of time at the end of the experiment graph will be shown which will show the relationship between these parameters. Before hardware implementation we performed some simulation-based experiments which are similar to the experiments performed on hardware for that purpose first, we designed the mathematical model of our system and then we performed some simulation based experiments in which we analyzed the performance of different controllers and then we implemented these controllers on hardware and we compared the results from both implementations. we have implemented three control techniques for the heading of the boat which are on-off controller, proportional controller, and PID controller, we performed the experiments of these control techniques in a small pool and we also performed these experiments on Namal lake which is near the Namal institute Mianwali. If we talk about the results of these experiments PID had the best results the movement of the boat was very smooth and very less amount of work was done by the actuators in the on-off controller the movement of the boat was not smooth it had wavy kind of motion and the proportional controller was better than the on-off controller the movement of the boat was much smoother but it was less smooth than the PID controller. Once the control system for the heading was designed we moved to design the controller for the position of the boat we just had to measure the error of position if the error is greater than or less than zero it means the boat does not reach its desire position so it will set its heading and starts moving towards its destination and if the error is zero it means the boat has reached its desired position and it will stop moving in this way it moves from one point to another point autonomously. Desired coordinates are sent from the remote computer to the boat by the help to serial communication and these coordinates are taken from google map.

Control Systems Hardware Design Machine Learning Embedded Systems Electronics

Syed Zohaib Hussain Kazmi

03408976376
1601002@namal.edu.pk

Java Matlab C Proteus ETAP Verilog Python

Muhammad Atif Haroon

03425792033
1601004@namal.edu.pk

Java Matlab C Proteus Power world simulator

Autonomous Course keeping Control for a USV

 

Sensorless Control of 3 phase Switch Reluctance Motor

The Switched Reluctance motor (SRM) is a type of motor in which the torque is produced by the tendency of its moveable part, by moving the rotor poles from one position to another when the inductance of exited winding is maximized. SRM is introduced by a while ago but it can’t replace the brushless DC motor and induction motor in industries although its simple ruggedness and winding-less rotor make it easy for the cooling process. However, the main problem that we face in SRM is the torque ripple and acoustic noise. Due to torque ripple, we cannot use the SRM in industries in place of DC motor and induction motor but the problem needs to handle by introducing an appropriate control method. For that purpose, many efforts have been put around the globe but it seems it’s remained unsolved because if we successfully control the SRM perfectly and it replaces the brushless DC motor and induction motor then an industrial revolution form on this planet because SRM is light in weight and highly efficient. In our final FYP project, we are going to design a sensor-less 3-phase switched reluctance motor drive and we used arduino uno dedicated as motor control device in our this project. The SR motor is simple, low-cost construction characterized due to the absence of magnets and rotor winding, and high level of performance over a wide speed range due to these entire characteristics the SR motor gaining wider popularity in these days. The primary disadvantages of SRM being torque ripple and acoustic noise. Torque ripple stops SRM to secure place in industry. This problem has to be tackled by introducing appropriate control methods. Many efforts have been put on by researcher around the globe and it seems the problem remain unsolved This project contains a sensor-less speed closed-loop SR speed driver which also has an inner current loop using flux linkage position estimation.

Control Systems Embedded Systems Hardware Design

Nasarullah

03337364560
1601003@namal.edu.pk

X Java Matlab Proteus Python

Waseem Haider

03475161445
1601022@namal.edu.pk

Java Matlab Proteus

Sensorless Control of 3 phase Switch Reluctance Motor

 

Smart Energy Management System

SEMS objective is to achieve optimal usage of energy to decrease monthly bill. This system consist of software, microcontroller, and wireless switches. Software will use to get information of the user. This information is used to recognize the type of user defined in the form of data present in microcontroller. After selecting data machine learning model is used on that data to get optimized usage plan. This plan will be implemented using wireless switches controlled by microcontroller. This system manages electricity autonomously according to user behavior to get optimized electricity usage.

Machine Learning Control System Embedded Systems Energy Informatics Mobile Application Development Controllers

Tufail Ahmad Siddiq

03330351585
1601006@namal.edu.pk

Java Matlab C Python Arduino PSpice Android Studio MS Office

Muhammad Faiq Kaleem

03324713621
faiqkaleem08@gmail.com

Proteus Matlab C Python Java KiCad ORCAD ETAP Keil Latex autocad adobe premiere pro adobe photoshop Arduino Power World Simulator Microsoft office verilog HDL

Smart Energy Management System

 

Development of Tele-operated Mobile Robot Manipulator for Application in Hazardous Environment.

This project aims to solve the problem faced in nuclear power plants. Problem is to monitor the conditions for weld koints in nuclear reactor pressure vessel which is hazardous for humans. Radioactive environment can be dangerous to the health of human beings. It also improves performance efficiency in the power plants.

Embedded Systems Control Systems Machine Learning Computer Vision Artificial Intelligence Wireless Communications Power Systems Control System Hardware Design Graphic Designing Smart Grid Arduino Programming

Mudassar Nisar

03365574582
mudassarnisarqureshi@gmail.com

Java Python C Proteus PCB’s MS Office Matlab PSpice ARM RaspberryPi Arduino ARM Launch Pad

Waqar Hassan

03137176807
1601009@namal.edu.pk

Java Matlab C Circuit Design Pyhton

Development of Tele-operated Mobile Robo

 

Design and Control of Multi-Terrain Spherical Robot

Mobile robot With spherical external shape is the newly developed prototype robot with wireless communication system. Dynamics of this robot are investigated for two motions: driving and steering. Two cameras are connected with the robot to capture video of external environment.

Power Electronics Robotics Hardware Design Power System Protection Signals and Systems Electrical Energy Systems Computer Networks Digital Systems Image Processing

Kashif Saeed

03047670067
1601040@namal.edu.pk

Java Verilog C Proteus Verilog Eclipse Matlab ModelSim Code Block AEtap Arduino OrCad

Muhammad Sheraz

03107517264
1601018@namal.edu.pk

C Proteus Verilog HDL Eclipse Matlab AutoCAD Google Colab ETAP Arduino OrCad Python SQL

Design and Control of Multi-Terrain Spherical Robot