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.
A Chess Tournament Management System designed to simplify tournament organization, enhance accessibility, and modernize outdated processes.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.
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.
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.
Event-based ML framework analyzing structural morphology of rainfall events in Pakistan (1981–2024). Segments 47K+ dekadal records into 4,563 events, discovers 7 rainfall typologies via GMM clustering, detects a 1996 regime shift with PELT, and classifies typologies with 96.6% accuracy (Random Forest).
Dashboard interativo em Python e Streamlit para gestão de relacionamento com clientes (CRM), análise de funil, mapeamento de objeções e acompanhamento de equipe comercial em tempo real integrado ao Google Sheets.
Production-style retail demand forecasting: LightGBM ensemble, FastAPI + Streamlit, 0.40 RMSLE on Kaggle Store Sales
AI Scraper : scrap and extract data from website in any format (CSV, JSON, HTML...) using Selenium or Crawl4ai, and using Ollama or Sambanova API, and using Streamlit for UI as chatbot
Streamlit app to visualize F1 race gaps using FastF1
Process Mining Dashboard developed using Python, Pandas, Streamlit, and Matplotlib as part of the Celonis Process Mining Virtual Internship. The project analyzes event log data, calculates activity durations, and visualizes workflow performance through an interactive dashboard.
Internship project on fine-tuning and comparing lightweight LLM techniques for customer
A RAG app for technical documentation with hybrid retrieval and cited sources
Quantitative finance scanner for statistical arbitrage using pairs trading, cointegration, rolling regression, Z-score analysis, and an interactive Streamlit dashboard.
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