| Paper/Architecture Replication from Scratch using PyTorch | Github Repository |
Replication, NIT,
A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers.
Projects
| 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, IIIT, 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.