Key Features & Contributions

• Engineered complete full-stack architecture with Next.js frontend and Node.js backend for real-time data synchronization
• Implemented multi-user collaboration with WebSocket communication using Socket.IO
• Developed comprehensive drawing tools including pen, shapes, text, and advanced layer management
• Created real-time cursor tracking system showing all participants' positions
• Integrated Clerk for secure user authentication and authorization
• Utilized Liveblocks for managing real-time presence and data synchronization
• Designed intuitive user interface with TailwindCSS for responsive design
• Built robust undo/redo functionality and canvas clearing features

Technologies Used

Key Features & Contributions

• Implemented JWT-based user authentication and authorization.
• Developed a robust RESTful API using Node.js and Express.js for handling posts, likes, and follows.
• Designed and implemented MongoDB schema for efficient storage of user data and posts.
• Built a dynamic frontend using React for a smooth, single-page application experience.
• Integrated real-time updates for notifications and feed refresh (Placeholder).

Technologies Used

Key Features & Contributions

• Implemented several classic ciphers (e.g., Caesar, Vigenere) and basic hashing functions.
• Developed a clean, multi-platform user interface for inputting text and selecting encoding methods.
• Focused on input validation and error handling for robust operation.
• Emphasized modular design for easy addition of new encoding/decoding algorithms.

Technologies Used

Project Highlights

• Completed end-to-end project lifecycle from data cleaning to deployment
• Performed extensive data preprocessing and exploratory data analysis to identify key churn indicators
• Engineered relevant features to improve model accuracy and predictive power
• Developed and evaluated multiple classification algorithms (Random Forest, Logistic Regression, XGBoost)
• Selected best-performing model based on accuracy, precision, recall, and F1-score metrics
• Built interactive web application using Streamlit for real-time predictions
• Implemented user-friendly interface allowing non-technical users to input customer data and get predictions
• Deployed model as a web service for easy accessibility

Technologies Used

Technical Implementation

• Architected complete game logic including player movement, enemy spawning, and collision detection
• Integrated OpenCV for real-time video capture from webcam
• Implemented MediaPipe library for accurate hand landmark detection and tracking
• Developed gesture recognition system to translate hand positions into ship movement commands
• Created enemy AI with dynamic spawning patterns and increasing difficulty
• Built comprehensive scoring system and game state management
• Optimized performance for smooth 60 FPS gameplay with minimal latency
• Designed intuitive gesture controls for shooting, movement, and special actions

Technologies Used

System Architecture

• Designed and implemented complete end-to-end Q&A system as sole developer
• Built data ingestion pipeline for processing and chunking documents
• Implemented document embedding system using state-of-the-art language models
• Set up vector database for efficient semantic search and retrieval
• Integrated generative AI model for producing context-aware answers
• Developed secure FastAPI backend with JWT authentication
• Created RAG pipeline combining retrieval and generation for accurate responses
• Implemented caching mechanisms to improve response times
• Built API endpoints for document upload, querying, and answer generation
• Achieved significant reduction in model hallucinations through grounded retrieval

Technologies Used

Key Features & Contributions

• Implemented real-time pose estimation using Google's MediaPipe framework.
• Developed a custom algorithm to calculate joint angles and compare them against correct pose metrics.
• Integrated live feedback system using Streamlit to display corrections directly on the video feed.
• Designed for scalability to include multiple yoga poses and customizable difficulty levels.

Technologies Used

Key Features & Contributions

• Developed native Android app using modern Kotlin and declarative UI with Jetpack Compose.
• Implemented a custom dynamic programming algorithm to find the most cost-effective and diverse meal combination within a budget.
• Designed an intuitive, responsive mobile-first UI for easy budget and preference setting.
• Managed application state and data persistence efficiently.

Technologies Used

Key Features & Contributions

• Developed the full-stack MERN (MongoDB, Express, React, Node.js) application from scratch.
• Implemented a secure, role-based user authentication and management system.
• Designed a modern, responsive frontend using React for optimal user experience.
• Created RESTful APIs with Express and Node.js for event management and registration forms.

Technologies Used

Key Features & Contributions

• Captured and stored a static background frame at the start of the program.
• Implemented a color-based segmentation algorithm to detect the cloak (chroma key color) using HSV color space.
• Used background subtraction and masking with OpenCV to replace the detected cloak area with the stored background image in real-time.
• Optimized frame processing for smooth, low-latency video output.

Technologies Used

Key Features & Contributions

• Implemented core data structures like Linked Lists, Stacks, Queues, Trees, and Graphs.
• Developed and analyzed various algorithms including sorting (Merge Sort, Quick Sort), searching, and graph traversal (BFS, DFS).
• Focused on clean, efficient, and well-documented C++ code adhering to best practices.
• Used as a primary resource for personal learning and peer reference in DSA.

Technologies Used

Key Features & Contributions

• Integrated MediaPipe for robust, real-time hand gesture recognition and tracking.
• Developed game logic using Python's Tkinter library for the graphical interface.
• Designed the control system to map specific hand gestures (e.g., pointing direction) to the snake's movement.
• Implemented a seamless, low-latency connection between the computer vision output and the game input.

Technologies Used