for Entire backend contack to admin: [email protected]
1.Reva Ai Search Engine Reva Ai Search Engine Reva Ai Search Engine | Full stack developer |Personal Project | Jan 2024 – Feb 2025 | LIVE LIVE LIVE |Github Github Github Architected a full-stack multimodal Reva AI prototype using React, FastAPI, MongoDB, and TailwindCSS. ML Stack: ML Stack: ML Stack:PPPyTorch, Accelerate, Diffusers, Transformers, HuggingFace, LangChain, NumPy, Pandas, OpenCV, Pillow, PyMuPDF, python-docx, OpenPyXL, and Tesseract– Achieving 90% accuracy in intelligent query augmentation and content extraction. Featuring Featuring Featuring real-time Conversational AI, code generation, debugging, content summarization, data Visualization, text-to-image generation, voice interactions, read and analyse documents/files , built with a modern UI Implemented session-based memory management Implemented session-based memory management Implemented session-based memory managementfor context retention across conversations, enhancing user engagement and response accuracy by 95% Build streaming APIs using aiohttp ,Websocket, integrated Mistral AI, Wikipedia, Common Crawl, Falcon ,DuckDuckGo, and Brevo Web Search for intelligent knowledge retrieval , achieving a 40% latency reduction and 90% boost in response relevance Implemented secure JWT authentication JWT authentication JWT authenticationsignup, login, and password reset workflows via email verification, enhancing security and user trust.
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