Sanan Malik@sanan_malik

SmartLearn AI is a modern AI-powered learning assistant designed to provide intelligent, context-aware educational support through conversational AI and document-based learning. The platform combines a high-performance FastAPI backend with a responsive React frontend to deliver a seamless ChatGPT-like experience for students and learners. The system allows users to upload PDF documents and ask questions directly from their content. Using a Retrieval-Augmented Generation (RAG) pipeline, the application extracts text from uploaded PDFs, splits the content into chunks, generates embeddings using Sentence Transformers, and stores them in a FAISS vector index for semantic search. When a user asks a question, the most relevant context is retrieved and sent to the Groq LLaMA 3 large language model to generate accurate and context-aware responses. SmartLearn AI also supports persistent multi-chat history using PostgreSQL and SQLAlchemy, enabling users to manage conversations efficiently with features like chat storage, retrieval, and deletion. The project is deployed using Vercel for the frontend and Railway for the backend and database services. The frontend is built with React and Vite, offering a fast and modern user interface, while the backend uses FastAPI for scalable API performance. The project demonstrates practical implementation of modern AI engineering concepts including semantic search, vector databases, LLM integration, RESTful APIs, and full-stack deployment workflows. SmartLearn AI aims to improve digital learning experiences by making educational content interactive, searchable, and AI-assisted through real-time intelligent conversations.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.