Building AI Systems • Computer Vision Applications • Developer Tools • Full-Stack Products
I am a Computer Science (AIML) student at BIT Mesra passionate about building intelligent systems that solve real-world problems.
My interests include:
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Full Stack Development
- Developer Tools
- Information Retrieval
I enjoy transforming ideas into impactful products by combining software engineering with AI.
A computer vision system for football analytics that tracks players across frames while maintaining identity consistency using modern multi-object tracking techniques.
- Multi-object player tracking
- StrongSORT integration
- Optical Flow enhancement
- Kalman Filtering
- Sports analytics generation
- Identity preservation during occlusions
Python • OpenCV • YOLO • StrongSORT
🔗 https://github.com/RSAgr/soccer
🎥 https://drive.google.com/file/d/1hjQxy6GUyPdryagLr2WHQ2k09JbWS4Ak/view?usp=drive_link
An AI-powered VS Code extension that simplifies Algorand smart contract development through intelligent code generation and developer productivity features.
- Smart contract generation
- AI-assisted coding
- Contract templates
- Deployment support
- Developer productivity tools
Python • TypeScript • VS Code API • Algorand
🔗 https://github.com/RSAgr/ByteBandits
A data analytics project focused on understanding traffic patterns in Bengaluru and extracting insights through visualization and statistical analysis.
- Traffic pattern analysis
- Congestion trend detection
- Data visualization
- Urban mobility insights
Python • Pandas • NumPy • Matplotlib
🔗 https://github.com/RSAgr/BLR_traffic
🎥 https://canva.link/hu8vij1e2thscex
A technology platform aimed at improving agricultural workflows through intelligent software solutions and data-driven decision making.
- Modern web platform
- Responsive design
- Data-driven workflows
- Scalable architecture
React • Node.js • MongoDB
🔗 https://github.com/RSAgr/agrTech
- Artificial Intelligence
- Computer Vision
- Information Retrieval
- Full Stack Development
- Blockchain Technology
- Developer Productivity Tools
A machine learning-based forecasting system designed to predict future demand using historical data and advanced feature engineering techniques.
- Demand forecasting
- Time-series analysis
- Feature engineering
- Model evaluation
- Predictive analytics
Python • CatBoost • Scikit-Learn • Pandas
🔗 https://github.com/RSAgr/foreCast
