AutoFinder – Campus Auto Booking System

A comprehensive mobility solution for large university campuses.

What Problem It Solves

Students on large university campuses often struggle to find reliable and quick transport between distant departments. AutoFinder digitizes the process, reducing wait times and standardizing fares.

How It Works

The app provides a dual-interface. Drivers open the app to signal availability and location. Students use the rider app to input a campus destination. The system uses matching algorithms to pair closest available autos with eager students, updating ETAs in real-time.

Key Features

  • Real-time GPS Tracking via Google Maps API
  • Instant ride matching with nearest drivers
  • Secure authentication for university students
  • Push notifications for ride updates and arrivals

Technologies Used

  • Flutter
  • PHP Backend
  • MySQL
  • Google Maps API
  • Firebase Notifications

WebRTC Video Chat – Interest Matching Platform

What Problem It Solves

Creating seamless peer-to-peer video communication with specific filters based on user interests.

Key Features

  • Low latency peer-to-peer video rendering
  • Interest-based matching algorithm
  • Text chat side-panel during video calls

Technologies Used

  • WebRTC
  • Node.js / Socket.io
  • React.js
  • Express.js

AI Voice Robot – Restaurant Ordering System

What Problem It Solves

Streamlines the drive-thru and phone ordering experience by replacing manual operators with highly accurate AI voice models capable of conversational nuance.

Key Features

  • Conversational dialogue management
  • Real-time intent extraction
  • Integration with restaurant POS systems

Technologies Used

  • Python
  • Speech-to-Text APIs
  • NLP (Transformers)
  • FastAPI