Saber El Yasmine@saber_ir2010

Teams often have many meetings where the same topic is discussed again and decisions change over time. Finding the final decision manually requires opening several recordings or transcripts and comparing them. This project solves that problem by creating a searchable voice memory for meetings. 1. Search multiple meetings instead of one transcript at a time. 2. Understand the meaning of discussions using semantic retrieval. 3. Track how a decision changed from one meeting to another. 4. Give a final answer instead of simply returning raw transcript text. 5. Provide evidence with exact timestamps. 6. Allow the user to jump directly to the original audio.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.