Bharat in Betastartup field guide
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No. 1258Problem statementPublic services

Development of an AI-enabled Low Cost Real Time Mine Subsidence Monitoring, Prediction and Early Warning System for Underground Coal Mines in India

Source

Source summary

The proposal requests low-cost monitoring of surface deformation over underground coal-mine panels. A local wireless mesh of accessible sensor hardware should measure tilt, displacement, vibration and crack development, with AI/ML analysis, GIS risk maps and SMS/email/app warnings. It should work offline with later synchronization and suit energy-efficient student prototypes. The saved source includes an editorial-looking sentence about an innovation hook; that sentence is not treated as an extra requirement.

No. 157ProposalPublic services

Government and Smart-City AI

Build affordable India-native AI solutions around demand created by the IndiaAI Mission and Smart Cities.

No. 1336Problem statementPublic services

Al-powered Intelligent Assistant for Indian Standards and BIS Services for Industries and Consumers

The BIS assistant should retrieve authorized standards and service information to answer plain-language, multilingual questions. It should recommend potentially applicable standards from product descriptions and explain certification, hallmarking, laboratories and consumer services with document or clause references. The source requires grounded guidance, not unsupported answers or a claim that the assistant grants certification.

No. 1393Problem statementPublic services

AI/NLP Engine to Detect Serious Injury & Fatality (SIF) Precursors in OIL's Unsafe-Act/Unsafe-Condition and Near-Miss Reports

Prototype AI/NLP triage of OIL unsafe-act/condition, near-miss and incident reports for serious-injury/fatality potential. Classify potential severity, map relevant IOGP Life-Saving Rules and identify recurring activity, location and barrier-failure precursors. Rank sites/activities by precursor density on a dashboard for HSE attention, using OIL report data where supplied. The source's numerical background claims are not validation of the proposed classifier.