Ravish paul's Work | ContraWork by Ravish paul
Ravish paul

Ravish paul

AI Product Designer & Developer

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Followed by Kraig M, Shaheer M, and Shreyansh S

Vadodara, India

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Vadodara, India

šŸŽµ Introducing Aura Music ā€” an AI-powered music streaming experience designed to make music discovery feel alive. For the Google Stitch Challenge, I wanted to explore how AI-native design tools can help transform a simple idea into an immersive product experience faster than traditional workflows. Using Google Stitch, I started with a text prompt and rapidly generated a complete mobile app concept. I then iterated on the design using Stitch's AI-powered in-place editing workflow, refined user flows, enhanced the visual experience, and created a futuristic interface focused on discovery, personalization, and interaction. āœØ Key Features: ā€¢ AI DJ Assistant ā€¢ Mood-Based Music Discovery ā€¢ AI Playlist Generation ā€¢ Dynamic Visual Experiences ā€¢ Social Listening Rooms ā€¢ Interactive Music Universe Exploration One of my goals was to align with the challenge theme, "Build interfaces that feel alive." The result is a modern music platform where users can discover music through immersive interactions rather than traditional browsing. šŸ”— Project Link: https://stitch.withgoogle.com/projects/2340622733448831121 šŸ’­ Feedback on Google Stitch: My favorite part of Stitch was the speed of iteration. Being able to move from a simple prompt to a polished interface in minutes made experimentation much easier. The AI-powered generation and editing workflow allowed me to focus more on user experience, interaction design, and creativity rather than spending hours building layouts manually. Built with Google Stitch using AI-powered generation, rapid iteration, and interactive design workflows. Feedback is welcome! @stitchbygoogle #stitchchallenge #GoogleStitch #UIDesign #UXDesign #ProductDesign #AI #MusicApp #MobileDesign #CreativeTechnology #AppDesign
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Designed and launched my AI/LLM portfolio website šŸš€ Showcasing projects focused on: ā€¢ RAG Systems ā€¢ AI Applications ā€¢ Browser Automation ā€¢ Computer Vision ā€¢ AI Workflows Built while exploring real-world AI product development, LLM systems, and autonomous AI tools. Currently learning and building in: Python ā€¢ LLMs ā€¢ AI Agents ā€¢ Automation ā€¢ NLP Excited to keep building and sharing more AI projects šŸ”„
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Cover image for šŸš€ Ultimate AI Image Verifier Developed
šŸš€ Ultimate AI Image Verifier Developed an AI-powered image verification system using CLIP and BLIP models to analyze whether a user-provided description matches an uploaded image. āœØ Features: AI image caption generation Image-text similarity verification Confidence score prediction Human-like explanation system Modern Streamlit interface šŸ› ļø Tech Stack: Python, Streamlit, PyTorch, CLIP, BLIP šŸŒ Live Demo: https://image-text-verifier.streamlit.app/ šŸ”— GitHub: https://github.com/paulkr-sketch/image_text_verifier
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Cover image for šŸ“„ AI PDF Chatbot (RAG
šŸ“„ AI PDF Chatbot (RAG + Gemini) Built an AI-powered PDF chatbot using LangChain, FAISS, HuggingFace Embeddings, and Google Gemini API. Users can upload PDFs and ask questions directly from document content using Retrieval-Augmented Generation (RAG). āœØ Features: PDF upload & parsing Semantic search with FAISS Gemini-powered responses Chat-style UI Modular architecture Streamlit deployment šŸ›  Tech Stack: Python, Streamlit, LangChain, FAISS, HuggingFace, Gemini API šŸŒ Live Demo: https://rag-pdf-chatbot-gemini.streamlit.app šŸ”— GitHub: https://github.com/Ravish-sketch/RAG-pdf-chatbot
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