Latest Projects
Insigen: Text Tresure Hunt
In Natural Language Processing (NLP), extracting valuable insights from extensive textual data is a persistent challenge. Top2Vec, a notable algorithm in topic modeling, is recognized for uncovering topics without predefined labels. Insigen builds on this by offering a generalized topic distribution for documents, determining associations, and generating informative extractive summaries. Results suggest Insigen as a promising solution for document analysis, advancing topic modeling, keyword extraction, and summarization beyond Top2Vec capabilities.
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Anime Recommendation System
Created an Anime Recommendation System using Content-Based Filtering, blending React for the frontend and Flask for the backend. Leveraging the Jikan API for anime details, the system preprocesses anime data, extracts keywords from plot descriptions, and calculates cosine similarity between anime features. The React frontend allows users to explore a grid of top 10 anime and, through a search bar, receive personalized recommendations based on their preferences. The backend, powered by Flask, efficiently handles recommendation logic. Serialized components ensure seamless integration and a fluid user experience, making anime discovery more engaging and tailored.
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Hand Gesture Tracking System
Developed a real-time Hand Gesture Tracking System by leveraging computer vision and deep learning techniques. The project involved the design and implementation of a system that can accurately track hand gestures in real-time. To achieve this, I utilized OpenCV for image processing tasks and TensorFlow for training deep learning models.
The system is capable of recognizing and interpreting various hand gestures, providing a seamless and intuitive interaction method. By combining the power of computer vision and deep learning, the project enhances the user experience in applications such as gesture-based controls for devices or virtual interfaces. The integration of OpenCV ensures efficient image processing, while TensorFlow facilitates the training of robust models for accurate gesture recognition. Overall, the Hand Gesture Tracking System represents a successful fusion of cutting-edge technologies to enable real-time, hands-free interaction.
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