About this project
Construction is India's second-most-hazardous sector, averaging an estimated 38 fatal accidents a day — and that likely undercounts the real toll, since ~30% of the workforce is unregistered. 60% of these deaths are falls from height and 25% are structural collapses — hazards a camera can catch, if anyone's watching. But the workforce is largely migrant, multilingual, and low-literacy, so an English dashboard alert never reaches the person in danger. SurakshaMCP is the first voice-first, multilingual Construction-Safety MCP server. Feed it a site photo or CCTV frame, and it detects PPE/hazard violations with a fine-tuned YOLOv8 model, identifies the worker's spoken language from audio, and delivers a spoken safety alert in their mother tongue — in one of 10 Indian languages via AI4Bharat Indic-TTS. This isn't a translated dashboard; it's an actual voice warning, load-bearing for real-time hazards like a worker straying near moving machinery. Every detection persists to a SQLite incident DB and rolls up into a BRSR (SEBI ESG) Principle-3 safety report — LTIFR, training coverage, monthly trends — so India's MSME contractors can hand large builders the safety documentation they increasingly need to win bids. Alerts can also reach a foreman's phone via WhatsApp (Twilio). Architecturally, SurakshaMCP is MCP-native and host-agnostic: safety intelligence is exposed as Tools, Resources, Prompts, and a long-running Task (run_site_safety_audit), built on NitroStack (TypeScript), wrapping a Python FastAPI inference service (YOLOv8 + language-ID + TTS). Any MCP host — Claude, ChatGPT, Copilot Studio, even a WhatsApp bot — can orchestrate it. Enterprise camera-safety systems (viAct, Intenseye) are closed, English-first dashboards priced for large firms. SurakshaMCP is MSME-affordable — no edge hardware, just a phone photo — and composable into whatever workflow a small contractor already uses.
Manufacturing & Industry 4.0 track
Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.