Ravish paul - Product Designer | ContraWork by Ravish paul
Ravish  paul

Ravish paul

AI Product Designer & Developer

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šŸŽµ Introducing Aura Music — 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. ✨ Key Features: • AI DJ Assistant • Mood-Based Music Discovery • AI Playlist Generation • Dynamic Visual Experiences • Social Listening Rooms • 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: • RAG Systems • AI Applications • Browser Automation • Computer Vision • AI Workflows Built while exploring real-world AI product development, LLM systems, and autonomous AI tools. Currently learning and building in: Python • LLMs • AI Agents • Automation • 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. ✨ 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 🌐 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). ✨ 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 🌐 Live Demo: https://rag-pdf-chatbot-gemini.streamlit.app šŸ”— GitHub: https://github.com/Ravish-sketch/RAG-pdf-chatbot
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Cover image for Built an automation system that
Built an automation system that generates and uploads videos automatically using APIs and workflows. Also building jhuggee.com (http://jhuggee.com) — a platform to help businesses build their digital presence. Always exploring AI, automation, and full-stack development. šŸ”— jhuggee.com (http://jhuggee.com)
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Built an AI-powered automation system for content creation and publishing. In this project, I created an automated workflow that can: • Generate videos automatically • Edit videos using cloud processing • Upload videos directly to YouTube • Run the entire pipeline without manual work The system was built using n8n automation workflows, APIs, and cloud processing (Colab). This kind of system can help creators and businesses scale content production without spending hours editing and uploading manually. If you're looking to build automation tools, AI workflows, or custom web applications, feel free to reach out. Always excited to work on interesting projects.
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