Technology: Python, OpenCV

Level: Student Final Year Project

Institution: COMSATS Institute of Information Technology, Lahore

Duration: 2009 – 2011

Description: This project captures and stores a face in a database for the first time and then recognizes it in future encounters using OpenCV. It was designed as a practical student-level application to demonstrate face recognition fundamentals.

Frontend: Node.js, React

Backend: Python (GPT-2 + Vector DB hybrid)

Duration: 10 Feb – 8 Apr 2025

Budget: $1000

Description: A smart university chatbot capable of responding with either vector-based answers or fallback to GPT-2 generated replies. The model was trained on real university data. Received excellent user feedback.

Technology: PHP, MySQL, JS

Description: A complete student-focused e-portal that allows users to register, purchase courses, send assignments, and make payments. The admin panel allows for assignment tracking, dashboard analytics, and direct communication.

Budget: $500

Description: A web-based system for identifying dialysis hotspots in Africa using geolocation and AI prediction models. The goal was to assist patients in locating nearby healthcare centers for urgent dialysis needs.

Technology: WhatsApp Cloud API, Python, NLP Model-Based Reply

Duration: 1 Month

Budget: $700

Description: An automated WhatsApp chatbot system that handles FAQs, appointment booking, and customer support using a trained language model for smart replies.

Tech: Laravel, Vue.js

Feature: Secure question randomization, real-time timer, auto-submission

Tech: MERN Stack

Feature: Cart, Checkout, Admin Management, Order History

Tech: Dialogflow + Python

Feature: Guides students based on interests, aptitude test inputs

Tech: WordPress + Custom PHP modules

Feature: Service listing, bidding system, escrow payment support

Tech: Excel Automation + Python GUI

Feature: Mark entry, result sheet creation, PDF report cards