Yali Bian@yali

PrivateDoc is an offline, on-device document intelligence assistant designed for sensitive personal paperwork, running on a Samsung S25 Ultra phone powered by Qualcomm SnapDragon. It combines ML Kit OCR, ExecuTorch, MiniLM semantic retrieval, and an on-device Llama 3.2 1B LLM to scan, classify, index, and answer questions about prescriptions, contracts, bills, IDs, and other documents without requiring an Internet connection. A strict retrieval-augmented generation (RAG) pipeline ensures every response is grounded in retrieved OCR evidence, with supporting text highlighted on the original document to improve transparency and reduce hallucinations. By performing OCR, retrieval, and language generation entirely on the device, PrivateDoc preserves user privacy while delivering fast, reliable, and source-backed document understanding.

🌉 On-site Only Hackathon | 📅 June 27–28, 2026 | 📍 San Francisco, CA This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 150 people, teams must include 3–5 members, and there is no online or hybrid participation. Build real-time AI apps that run directly on Snapdragon-powered mobile devices using ExecuTorch. Selected teams will get Samsung Galaxy S25 Ultra devices on-site for building, testing, and live demos. 📍 On-site Venue (June 27–28): The Web Data Loft by Bright Data 625 2nd St, San Francisco, CA 📱 Samsung Galaxy S25 Ultra devices provided on-site for selected teams 🧠 Learn from Qualcomm and Meta experts through workshops, mentorship, and hands-on support 🏆 Prizes include Meta Quest 3 headsets, Ray-Ban Meta AI Glasses, and post-event project support 🧑‍💻 Apply now to build the future of on-device AI with ExecuTorch and Snapdragon. Once pre-approved, you will receive further instructions on how to complete the acceptance process. Application deadline: June 17, 2026, at 11:59 PM PDT.