Arghya Bhattacharjee Arghya876

🚀 About Me

I am a passionate software developer specializing in building modern web applications using the MERN Stack (MongoDB, Express.js, React, Node.js) and designing intelligent systems. I am highly interested in Artificial Intelligence & Machine Learning, focusing on deep learning, computer vision, and automated IoT systems.

💻 Core Focus: Developing full-stack web applications and training deep learning models.
🛠️ MERN Stack Expertise: Building robust servers with Node.js/Express, managing data with MongoDB, and creating dynamic frontends with React.
🧠 AIML Interest: Exploring computer vision applications, CNN classification models, and automating routines using Python.
⚡ Fun Fact: I love writing Python scripts using Computer Vision to automate my daily tasks!

🛠️ Tech Stack & Skills

💻 Programming & Backend

Core Java & OOP concepts
Python automation scripting
Node.js & Express.js REST APIs
Django backend security & integration
SQL (MySQL/PostgreSQL) & NoSQL (MongoDB)

🌐 Frontend & Web Design

React.js & Next.js SPAs
Modern HTML5 & CSS3 layout design
State Management & REST API integrations
Responsive Web App Architectures

🤖 AI, Machine Learning & CV

Computer Vision with OpenCV & PIL
Facial emotion recognition CNNs
Data analytics with NumPy & Pandas
Deep Learning models with TensorFlow

🔧 Developer Tools & OS

Git version control & GitHub workflows
Containerization & deployments with Docker
OS environments: Ubuntu Linux & Windows
Modern IDEs: VS Code

📌 Featured Projects

🛒 NovaCart

Premium Full-Stack E-Commerce Platform

Key Features: Secure JWT authentication, dynamic administrator dashboard, interactive shopping cart, and seamless checkout system.

Tech Stack: React • Node.js • Express.js • MongoDB • TailwindCSS

👶 Little Guardian

AI-Powered Baby Sleep & Movement Monitor

Key Features: Real-time sleep tracking via MediaPipe face mesh (eye-state estimation), live motion detection, and active sleep/wake duration logging.

Tech Stack: Python • OpenCV • MediaPipe • NumPy

🔥 LPG Leakage Alert System

AI & IoT Home Safety System (Patent-Filed)

Key Features: Real-time gas leakage & fire detection with computer vision visual confirmation, and automated WhatsApp emergency alerts.

Tech Stack: Python • OpenCV • TensorFlow • IoT Sensors

😊 Face Emotion Recognition

Deep Learning CNN Classifier

Key Features: Real-time facial expression classification from camera feeds using a custom Convolutional Neural Network (CNN).

Tech Stack: Python • TensorFlow • Keras • OpenCV

🚨 Face Obstruction Detector

Computer Vision Security Monitor

Key Features: Live video feed monitoring for face coverings, detecting continuous obstructions (>5s), and dispatching warning alerts.

Tech Stack: Python • OpenCV • Twilio API

🏆 Achievements & Key Highlights

🏅 IoT & Safety Innovation: Developed an advanced home safety AI system using computer vision & automated alerts.
📜 Patents: Co-invented and filed a patent for the AI-based LPG Gas Leakage Detection & Fire Alert System.
⚙️ Full-Stack Architect: Created a highly robust, fully interactive MERN-stack e-commerce marketplace (NovaCart).
🤖 Deep Learning: Implemented computer vision neural networks with real-time video analytics capabilities.
📚 Continuous Growth: Successfully completed assignments and challenges in Web Development, Java concepts, and Django security integration.

📊 GitHub Analytics

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