Inifinte Sanctorium
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote
MajiProof — Visual Intelligence for Rural Water Infrastructure MajiProof is a multimodal AI platform that transforms field photographs into structured infrastructure inspections and evidence-based repair verification. Across rural communities, water infrastructure maintenance often depends on fragmented photographs, technician reports and manual inspections, making it difficult for NGOs and water-service organizations to establish what went wrong, what was repaired and whether conditions have visibly improved. MajiProof addresses this challenge using Meta Muse Spark 1.3 and Segment Anything Model 3.1 (SAM 3.1). Muse Spark interprets visual evidence, identifies potential maintenance concerns and generates structured inspection findings, while SAM 3.1 segments relevant infrastructure components and produces visual overlays. A before-and-after comparison engine then highlights observable changes, unresolved concerns and missing evidence. The platform generates transparent inspection reports for human review, keeping AI observations separate from verified decisions. **Our mission is simple: Don't just report that water infrastructure has been repaired. Show the evidence of what changed.