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YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.
Cognivia AI is a powerful AI-powered PDF search and question-answering system built with LangChain, Pinecone Vector Store, OpenAI, and Supabase. Upload PDFs, ask questions, and get intelligent answers with persistent conversation memory.
A Chess Tournament Management System designed to simplify tournament organization, enhance accessibility, and modernize outdated processes. The system incorporates advanced features for player management, tournament tracking, and ELO rating calculations, offering a scalable and efficient solution for chess federations and organizers.
An AI-powered RAG chatbot that allows users to upload PDFs and images, extract text using Google Vision API, and get context-aware answers powered by Google Gemini AI and FAISS vector search. Designed for SLIIT students to query lecture materials, but can be used for any private document retrieval.
An intelligent warehouse management system featuring automated data processing, demand forecasting, and real-time inventory tracking. Built with Python, Streamlit, and Prophet.
The AI Customer Feedback Analyzer is an NLP-powered system that helps companies analyze large volumes of customer reviews, support tickets, and survey responses. Instead of manually reading thousands of comments, this tool extracts sentiment, groups similar complaints, and summarizes customer pain points in a clear dashboard.