AQ Asad@AQ_Asad

Live Sight is a vision-assistance app for blind and low-vision users that learns from each user's corrections and remembers what they've seen. It runs Qwen3-VL-8B on an AMD MI300X via vLLM, with FastAPI orchestrating four interaction modes — Navigate, Read, Scene, and Ask — plus episodic Recall over the user's interaction history. The personalization story is honest: when the model misreads a word ("Kumon" → "Kuman" on our test user's note) or mishears a name, the user records a Roman Urdu or English correction. Whisper transcribes it on-device, the correction is saved to the JSONL log, and a nightly LoRA fine-tune on AMD MI300X learns from accumulated corrections. The shipped adapter is v1.2, trained on 22 corrections from 100+ interactions over 5 days — it preserves prior corrections (Kumon→Kuman) while learning new ones (RAKtherm signage). We also tried v1.1 on the full corpus and documented why it regressed; the lesson — focused signal beats more data at fixed compute — is in the iteration log. Recall is RAG over a multilingual MiniLM-L12-v2 sentence-transformers index in sqlite-vss — "where did I put my keys?" returns the most recent matching scene with timestamp. The frontend is a React PWA with a tap-to-toggle voice flow, deployed as a Hugging Face Static Space. The backend tunnels to AMD Developer Cloud via cloudflared. Built in Karachi over 8 days.

📅 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. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.