Grafest: Official College Fest Website

Project Overview

Grafest is the official fest website for our college, developed from scratch with full-stack capabilities. It handled over ₹4,00,000 in revenue through integrated Razorpay payments and served 24,000+ users, recording 1.3 lakh page views. The portal supported user authentication, pass generation, and real-time scanning/verification using Flask, while also ensuring performance, scalability, and SEO effectiveness. I maintained it for 2+ months, ensuring seamless data extraction and communication throughout.

Technical Implementation

Frontend: Wordpress HTML5, CSS3, JavaScript (Fully responsive)
Backend: PHP (Core), Flask microservice for pass verification
Database: MySQL + dynamic data management with SQL queries
Payment Gateway: Razorpay integration with live checkout
Security: CSRF prevention, input sanitization, and secure hash-based links
SEO: Meta tags, OpenGraph support, sitemap.xml, fast-indexing strategies
Performance: Load time under 8ms (pre-cache) via code/asset optimizations

Challenges & Solutions

Challenge: Handling large real-time user traffic and pass verification
Solution: Used Flask-based microservice and caching + QR-based check-ins
Challenge: Building secure and fast checkout
Solution: Implemented Razorpay server-side logic and secure transaction logs
Challenge: SEO optimization and ranking in short time
Solution: Manual keyword optimization, sitemap & console integration

Future Improvements

Admin dashboard for user analytics and ticket redemption tracking
Mobile app with integrated scanning and registration
AI-powered personalized fest experience

Visit Live Website (Demo Website - official is down)

Autonomous Robot Car for Quick Commerce Warehousing

Project Overview

An autonomous robot car designed for optimizing warehouse operations in quick commerce settings. The project enables real-time item fetching from predefined locations using the A* search algorithm and graph-based pathfinding techniques. It helps streamline the warehousing process and reduce delivery times.

Technical Implementation

Hardware: ESP32 microcontroller, L298N motor driver, and DC motors
Pathfinding Algorithm: A* algorithm for shortest path navigation
Backend: Flask server for communication and control
Mobile App: Android Java app to send and receive navigation commands
Graph Representation: Warehouse mapped as a 2D grid (matrix) for pathfinding

Challenges & Solutions

Challenge: Accurate real-time pathfinding in a dynamic environment
Solution: Optimized the A* algorithm and calibrated sensor inputs.
Challenge: Ensuring battery efficiency for prolonged operations
Solution: Implemented sleep modes during idle states to conserve power.

Future Improvements

Integration with cloud-based inventory systems
Improved obstacle detection using LIDAR or ultrasonic sensors
Scalability to larger warehouse environments

View Source Code

Real-Time Parking Optimization System Using ML & CV

Project Overview

A system that uses computer vision and machine learning to optimize parking spaces in real time. The project identifies free and occupied parking spaces using OpenCV, updates data on a mobile app, and enables seamless booking of parking spots. This project won 1st place in a hackathon.

Technical Implementation

Computer Vision: Real-time video stream analysis using OpenCV
Machine Learning: Scikit-learn for car detection and classification
Mobile App: Flutter-based interface for users to check and book parking spots
Backend: Flask server to manage parking data and communicate with Firebase
Database: Firebase for real-time data updates

Challenges & Solutions

Challenge: Accurate car detection in varying weather and lighting conditions
Solution: Improved model training with diverse datasets.
Challenge: Ensuring real-time updates with minimal latency
Solution: Optimized data transfer with Firebase's real-time capabilities.

Future Improvements

Integration with navigation apps like Google Maps for real-time guidance
Support for larger parking lots and multi-floor parking
Enhancing detection accuracy with advanced deep learning models

View Source Code

Mobile Controlled IoT Smart Shopping Cart

Project Overview

An IoT-based smart shopping cart that enhances the shopping experience by enabling mobile-controlled cart connections. Users can scan a QR code in the Flutter app, connect to the cart, and add items seamlessly. This project won 1st place in a hackathon.

Technical Implementation

Hardware: ESP32 microcontroller for cart control
Mobile App: Flutter app for user interaction and QR code scanning
Backend: Flask server for QR code processing and session management
Communication: ngrok for secure tunneling between app and server
IoT: Beeping feature on cart connection using ESP32

Challenges & Solutions

Challenge: Ensuring secure communication between mobile app and server
Solution: Used ngrok for secure and reliable connections.
Challenge: Real-time cart connection feedback
Solution: Implemented beeping signal via ESP32 to indicate successful connection.

Future Improvements

Adding item tracking and inventory management to the system
Integration with payment gateways for a complete shopping experience
Scaling the system for larger supermarkets

Blockchain Healthcare System

Project Overview

A decentralized healthcare management system leveraging blockchain technology to enable secure and seamless sharing of medical records between users and healthcare professionals. This project achieved the 4th spot in a hackathon.

Technical Implementation

Blockchain: Developed smart contracts using Solidity on Ethereum
Development Environment: Used Ganache for local blockchain simulation
Frontend: Flutter app for user interaction and record management
Backend: Flask server integrated with the blockchain
Communication: Used ngrok for secure data tunneling

Challenges & Solutions

Challenge: Ensuring data privacy on the blockchain
Solution: Encrypted sensitive data before storing it on the blockchain.
Challenge: High gas fees on Ethereum
Solution: Implemented local testing with Ganache to minimize costs during development.

Future Improvements

Migration to a Layer 2 solution to reduce gas fees
Integration with wearable health devices for real-time monitoring
Expansion to a multi-chain architecture for improved scalability

Gen AI Student Chatbot

Project Overview

A generative AI-powered chatbot tailored for students to provide real-time assistance on academic queries, study plans, and more. This is a personal project using cutting-edge AI tools.

Technical Implementation

Language Model: Integrated Llama for NLP and conversation flow
Hardware Acceleration: Leveraged Groq for optimized AI computation
Backend: Flask server for API requests and chatbot logic
Frontend: Responsive UI with Bootstrap for chat interface
Development Language: Python for ML and backend processing

Challenges & Solutions

Challenge: Maintaining context across multiple interactions
Solution: Implemented a session-based memory system.
Challenge: Reducing response latency
Solution: Optimized inference using hardware accelerators.

Future Improvements

Integration with educational platforms like Moodle
Adding multilingual support for non-English-speaking users
Enhancing AI responses with domain-specific datasets

View Source Code

MyBank: Simple Local Banking Application

Project Overview

MyBank is a simple local banking application designed as a personal project to explore database management and financial operations. It allows users to create accounts, check balances, and perform basic banking transactions like deposits and withdrawals.

Technical Implementation

Database: Local MySQL database for storing user data and transaction records
Backend: Developed logic for banking operations (deposits, withdrawals, transfers) in Java
Frontend: Designed a basic console-based UI for user interaction
Security: Incorporated basic input validation to ensure reliable operations

Challenges & Solutions

Challenge: Ensuring data consistency during concurrent transactions
Solution: Implemented database transaction handling with commit and rollback mechanisms.
Challenge: Simplifying the user interface for non-technical users
Solution: Designed a structured and intuitive menu-driven console interface.

Future Improvements

Adding a GUI-based frontend with JavaFX or Swing
Integrating advanced financial features like loan calculations
Implementing secure login with encryption and authentication

View Source Code

Group Chat Application

Project Overview

A lightweight group chat application that enables real-time communication between multiple users. Built as a personal project to explore networking and socket programming in Java.

Technical Implementation

Networking: Implemented using Java Sockets for client-server communication
Multithreading: Enabled concurrent messaging using multithreaded server architecture
Frontend: Built a simple Java Swing-based UI for chat interface
Backend: Handled message broadcasting and connection management on the server

Challenges & Solutions

Challenge: Managing simultaneous connections
Solution: Implemented a thread pool to handle multiple clients efficiently.
Challenge: Ensuring message delivery reliability
Solution: Added acknowledgment mechanisms to confirm message receipt.

Future Improvements

Enhancing UI with modern frameworks like JavaFX
Adding features like private messaging and file sharing
Integrating with cloud services for scalability

View Source Code

Java Swing Desktop Apps: Calculator & Stopwatch

Project Overview

Developed a collection of desktop applications using Java Swing, including a fully functional calculator and a stopwatch. These projects helped solidify understanding of GUI development and event-driven programming in Java.

Technical Implementation

GUI Framework: Java Swing for creating user interfaces
Calculator: Supports basic operations (addition, subtraction, multiplication, division)
Stopwatch: Timer functionality with start, stop, and reset features
Event Handling: Implemented ActionListeners to respond to user interactions

Challenges & Solutions

Challenge: Managing multiple events in the stopwatch application
Solution: Used multithreading to handle the timer while maintaining a responsive UI.
Challenge: Designing an intuitive layout for the calculator
Solution: Utilized GridLayout to align buttons and ensure usability.

Future Improvements

Adding scientific calculator functionalities
Customizing themes and improving aesthetics
Exporting stopwatch results to a file

View Source Code

My Projects

Grafest: Official College Fest Website

SAMS : Full- stack smart attendance system using computer vision

DarkSaathi : Autonoumous robot car for quick commerce warehousing

Park-king : Real time parking optimization system using ML & CV

ShopSmart : Mobile controlled IOT smart shopping cart

Medi-Mate : Blockchain healthcare system

AskAnchor.AI : Gen AI Student chatbot

Java Swing - Bank application with MySQL

Java Swing - Socket Group Chat

Java swing desktop apps