| SmolCluster | Distributed Deep Learning Library for Heterogeneous Hardware |
Research Library, Personal Project, Online
Educational Library for training/inference of neural networks across heterogenous compute like Mac minis, Raspberry Pi, and GPUs, written using only socket library in Python. Supports FSDP, Classic Data Parallelism, Elastic DP, Synchronous Parameter Server, and Model Parallelism.
| NeatRL | Deep Reinforcement Learning Algorithms Library |
Research Library, Personal Project, Online
Comprehensive implementations of deep RL algorithms including DQN, A2C, PPO, DDPG, TD3, and SAC. Features one-file implementations, experiment tracking with W&B, automatic video recording, and support for Gymnasium environments. Main NeatRL library provides high-quality training utilities with focus on simplicity and performance.
| Paper Replications | ML/DL Research Paper Implementations |
Research Repository, Personal Project, Online
A comprehensive collection of code implementations replicating results from influential machine learning and deep learning research papers. Features 30+ models including Transformers, GANs, Vision models, and RLHF techniques.
| NeatRL Playground | AI Games Showcase powered by Reinforcement Learning |
Interactive Platform, Personal Project, Online
Beautiful, interactive website showcasing AI-powered games with reinforcement learning agents. Features Pong AI with Deep Q-Learning, real-time WebSocket communication, and smooth animations. Deployed on Vercel (frontend) and Render (game server) with production-ready health checks and headless mode.
| FarmGenie (GeoHack 2024) | Empowering farmers with real-time insights and expert guidance via AI-driven space |
Hackathon, IIIT-BH, Bhubaneswar
Our platform utilizes LLMs and a Mixture of Expert (MoE) approaches to provide precise guidance on soil management, plant disease identification, and irrigation techniques. Built as a scalable web application with a Next.js frontend and backend, and supported by a Redis queue and multiple worker nodes, FarmGenie ensures robust performance. The system’s multilingual support, interactive community forum, and up-to-date knowledge base facilitate seamless, expert-driven assistance for both new and experienced farmers.
| Insight-Ed (HackNITR 5.0) | EdTech Platform for Student and Teacher |
Hackathon, NIT, Rourkela
Imagine an online classroom where teachers instantly know when and why students lose focus. Our AI-powered solution bridges the knowledge gap by detecting student emotions and attentiveness, highlighting problem areas, makes the teacher aware of each student’s progress. With features like reverse video search, dynamic questionnaires, and advanced Q&A bots, we transform the learning experience, making it more interactive and insightful. Redefining online education with our model, ensuring every student gets the attention they need, right when they need it.
| PlogPayouts | AI-driven Plogging System |
Google's Solution Challenge '24, , Bhubaneswar
Transform your daily jog into a mission for a cleaner world with PlogPayouts. Our innovative website + app rewards you for collecting litter, promoting fitness and environmental cleanliness. Utilizing AI for trash categorization and optimized routes, and fostering community through shared stories, PlogPayouts turns every step into a step towards a greener, more inclusive society. Join us and make a difference today!
| MoviesMania (Geek-o-thon) | A Reverse Search based Movies Recommendation System |
Hackathon, IIIT, Bhubaneswar
Step into the future of entertainment discovery with MoviesMania. The rpoduct aims to simplify your search for the perfect movie or web series. Using various AI/ML techniques and elements, we analyze uploaded video clips to predict movie titles and recommend similar content with an impressive accuracy. Experience flavoured recommendations tailored to your tastes, powered by Keras, Flask, and advanced face recognition algorithms with a full-fledged movie recommendation system.
| Movies Review System | Spoiler-Free Sentiment-Analysis based Movies Review System) |
POC, IIIT, Bhubaneswar
Introducing the Movie Review System, where AI meets movie magic to revolutionize how viewers experience films. This project goal is to provide an interface for spoiler-free reviews and sentiment analysis, enhancing the viewing journey. With advanced models like Voting Classifier and Bi-LSTMs powered by Keras and TensorFlow, we achieve impressive metrics—a 91% accuracy, 91% precision, and 90% recall that understands and enhances the users’ with the respective movies’ plot from a bird’s eye view.