SAMS : Full- stack smart attendance system using computer vision

Project Overview

Detailed description of the project, its purpose, and main features...

Technical Implementation

Face Detection: Used OpenCV with Haar Cascades
Recognition: Implemented using TensorFlow
Backend: Flask REST API with SQLite database
Frontend: Responsive design with Bootstrap

Challenges & Solutions

Challenge: Handling varying lighting conditions
Solution: Implemented image preprocessing
Challenge: Real-time performance
Solution: Optimized using parallel processing

Future Improvements

Integration with mobile app
Cloud deployment support
Enhanced analytics dashboard

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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

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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

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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

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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

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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

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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

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My Projects

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