01 SolarGenix Solar generation prediction using weather data and machine learning. PythonMachine LearningOpen-MeteoScikit-learnData Analysis Ahmedabad, Gujarat 78% Clear Sky Predicted Generation 32.5 kWh View Project SolarGenix GitHub repository for SolarGenix Live Demo of SolarGenix
02 OptiNest AI-assisted sheet layout and box placement optimization. PythonFastAPILangGraphOR-ToolsAI Agents Sheet Size 1200×800 mm Boxes 3 types (24 total) Utilization 92.4% Box A12 Box B8 Box C4 View Project OptiNest GitHub repository for OptiNest Live Demo of OptiNest
03 FitFusion Personalized AI fitness app with workout plans and progress tracking. MongoDBExpressReactNode.jsMachine Learning Hey Vedang! Keep pushing towards your goals 💪 55kg Current Weight 12 Workout Streak 78% Goal Progress Today’s Workout Push Day 4 Exercises • 45 mins Start View Project FitFusion GitHub repository for FitFusion Live Demo of FitFusion
04 ContextIQ A RAG-based conversational knowledge assistant. PythonLangChainRAGVector SearchLLM What is the purpose of this document? This document explains the system architecture for the sheet layout optimization tool. It covers the data flow, optimization model, and API design. Sources: architecture.pdf p. 2 optimization.md p. 5 api_spec.pdf p. 1 Ask a question about your documents… View Project ContextIQ GitHub repository for ContextIQ Live Demo of ContextIQ
05 Bill Prediction Electricity bill prediction using consumption history. PythonMachine Learning Monthly consumption Forecast Next month Model Regression View Project Bill Prediction