form-analysis

The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework by Microsoft Customer Engineers and Architects, ensures quality, efficiency, and rapid deployment of AI and ML solutions across various industries.

Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.

Extract and download key-value pairs, tables, and paragraphs from your scanned pdf, jpg, and png documents as CSV files.

Real-time AI gym coach using computer vision and pose estimation to analyze exercise form, count reps, track workouts, and deliver AI-powered voice feedback. Built with Python, MediaPipe, OpenCV, Streamlit, Groq LLaMA, and SQLite.

Premium responsive product showcase for NeuroKinetIQ a real-time AI gym coach using computer vision for pose analysis, rep counting, form correction, voice coaching, and workout tracking.

A Chrome extension that analyzes web forms, extracts questions, and generates AI-assisted answers for faster form completion.

Local-first AI fitness coach with meal logging, MoveNet form checks, recovery scoring, trend charts, and an agent task workspace.