A phone video of a person becomes a Unitree G1 skill: SAM 3.1, SAM 3D Body, Muse Spark and V-JEPA 2 in, a trained humanoid policy out.
Booking pages for local businesses, with Google Maps setup and a voice-enabled owner assistant. English and Spanish.
Forward a suspicious text, screenshot, voice note or PDF to a WhatsApp number and get a verdict in seconds — scam, legitimate or doubtful — with the reasons. Three Meta models, 231-case evaluation, 98.5% scam recall.
ISSA AS — Security-First Autonomous GitHub Issue Scout, Deterministic Fail-to-Pass Verifier & Agentic Solver built with Meta Muse Spark
MOGUL Logistics - RL Environment for Real-world Indian Supply-Chain Optimization (Meta PyTorch OpenEnv Hackathon)
AI ad agency for small businesses on Meta: agents research, write, test every ad in a simulated feed next to competitors' real ads, evolve, then publish within the owner's cap. Built on Muse Spark, Wonder, Image, SAM 3.1.
Sandbox-verified automated repair and browser pre-flight deployment gate for web applications. Built for the Meta Global AI Developer Hackathon.
Prompt → CAD that actually assembles: Meta Muse Spark writes the part, the OpenCascade kernel measures bolt holes, interference, thread engagement and printability, and sends failures back for repair. STEP/STL/3MF/DXF/BOM. Meta Global AI Developer Hackathon 2026.
Autonomous Visual Architecture Governance & PR Boundary Audit Agent. Couples Meta SAM 3.1 visual diagram perception with Meta Model API (Muse Spark) semantic code reasoning to eliminate architectural drift across microservices.
A agentic cybersecurity system built around Meta's Muse models
Agent that translates clinical SAS programs to R with Muse Spark, runs the R, checks every number against SAS, and repairs itself. 94/100 on a real-SAS benchmark, hash-chained provenance.
Screenshot + goal → one highlighted step at a time. Browser-redacted visual guidance for relatives using Meta Muse Spark 1.3 & SAM 3.1. Built for Meta Global AI Hackathon.
Synthetic market-data benchmark for Meta's Muse Spark: messy CSVs, hidden data problems, deterministic scoring. Built for the Meta AI Developer Hackathon.
OpenEnv Framework based Multi-Agent Planning RL Environment - For Meta Pytorch OpenEnv Hackathon
Evidence-grounded, human-gated multi-agent AI that turns biomedical questions into reviewable plans
FrontierSight AI — From video to verifiable physical-world intelligence. Meta Global AI Developer Hackathon 2026 (Startup Track, Push the Frontier).
Meta Global AI Developer Hackathon (Indie Track - Push the Frontier): Zero-CSO wastewater MPC uniting 6 Meta models (SAM 3.1, Muse Spark 1.3, Muse Wonder 1.0, Muse Voice 1.0, Muse Image 1.0, Muse Glimmer 30B) with EPA SWMM5 DYNWAVE & SHA-256 verification. Built from scratch Oct 28-Nov 4.
Terminal-native security investigations with Meta models and real MCP tools. Import logs, inspect evidence, export reports and resume cases.
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