Focal point
AI Engineer World's Fair Hackathon 2026FocalPoint is a chat interface that watches how you read and adapts in real time — no feedback buttons, no ratings, no extra effort from the user. Using your webcam and MediaPipe iris tracking, FocalPoint records where your eyes linger, what you skim, and where you re-read. Every paragraph in every response is a gaze zone. After each turn, a Reward Agent scores those zones: smooth reading earns +1.0, confusion gets −0.5, skimming −0.3, skipped zones −0.2. That signal updates your reading profile on the spot. A Prompt Agent then rebuilds the system prompt from your profile — adjusting complexity, response length, format, and flagging topics you've struggled with. The model doesn't get fine-tuned. The system prompt does. We call this Recursive Self-Improvement: the AI rewrites its own instructions based on how well its last response was actually read. A Meta-Agent runs at session end to consolidate long-term memory across six layers — episodic, semantic, procedural, working, sensory, and prospective — so the adaptation carries forward into every future conversation. The result: a model that starts verbose and expert-level, then learns to meet you exactly where you are. Purely from your eyes. Stack: React · FastAPI · Gemini · MediaPipe · MongoDB · Antigravity (multi-agent memory)
Team
Placement
