Research Based"PersonalisedComfort" A Personalised Thermal Comfort Model to Predict Thermal Sensation Votes for Smart Building Resident. 

Research Based"DeepAMD: Detecting Android Malware" using High-Efficient Deep Artificial Neural Network to detect harmful attacks to an android smart phone in order to make user data safer. Journal paper submitted in "Future Generation Computer Systems". 

Research Based "IntelliScreen" for detecting corona virus infected lungs instantly at any place through portable X-ray machine and this model can be used for breast cancer diagnosis after this pandemic making women life safer.

Research Based "Malicious URL Detector" comprised of novel concept of tokenization and clustering embedded in LSTM layer to achieve an accuracy of 99.678%.

Research based "Anti Spoof Face Recognition" system in which face recognition comprises ResNet-34 & CNN while main frame is filtered with YOLO V3 and additional neural network to filter out all spoofing techniques.

Research based "Mobile Automated Portal" system in which teacher and student mobile phones are synchronized to make automate attendance procedure on the base of secure mobile connections. System also saves time of teacher from traditional manual tasks.

AI Cyber Network for safe cities, A revolutionary cloud empowered system which connects deep learning cameras with security forces in order to identify the suspected vehicle efficiently. This project tends to bring automation for police force procedures meanwhile generating revenue by providing security to towns, colonies, cities and highways. 

Instant Vehicle speed calculator, A computer vision project which calculates the speed of vehicle precisely by analyzing the absolute difference in position of a car in a short interval. This is an automation project of E-Ticketing system for over speeding vehicles with a successful implementation in local as well main areas of cities including highways.

Car identification with Feed-forward Neural Network, Trained Feedforward Neural Network for the identification of cars with an accuracy of 91.67%. The motivation of this project was to make a neural network which works efficiently in safe city project to deliver better security.

Deep Learning AMS, Deep Learning face recognition Academic Management System with neural networks to identify false digital means of attendance. This project ensures a big discount than other equivalent feature systems while delivering the same quality and security.

Websites and E - commerce, Having certified skills in web development, marketing and finance management from Digiskills.pk.

Direct-X Game Programming, A 2D PAC man game on direct X framework.