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"A grounded RAG-based AI assistant built with Python, FastAPI, and LangChain that answers questions directly from my case studies and CV with precise retrieval."
This multipurpose computer vision project helps users search for objects within images using object detection using VLMs (Vision Language Models) and semantic similarity using vector databases.
Use a personalized chat assistant to get grounded explanations
ClickHouse-grounded AI agents which answers natural-language questions using only the tables you give it, with joins resolved from real dbt lineage instead of guessed from column names.
Maintain-AI tracks your home's appliances, stays silent until something's due, then recommends repair vs. replace with real cost estimates — and never acts without your approval.
AI-driven local compliance and permit navigator for small businesses.
A no-code platform where users create their own AI agents, connect multiple MCP integrations and knowledge bases, and direct them to perform multi-step tasks - only when asked.
Praxa turns theatre research into human–agent collaboration: WebMCP tools search trusted sources, compare productions, and return page-level citations.
Health and fitness AI assistant
Turn your study PDFs into an AI-powered tutor, quiz maker, flashcard generator, and study planner.
My project helps users find information from course PDFs by asking questions naturally. It uses RAG, semantic search, ChromaDB, and Gemini to retrieve relevant content and generate answers.
