Bharat in Betastartup field guide
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No. 1160Problem statementMobility and logistics

Enhancing Rail Madad with Al-powered Complaint Management

Source

Source summary

Extend Rail Madad with AI-assisted complaint handling, including submissions consisting only of photos, video or audio. Classify and prioritise complaints, extract text and metadata, collect missing information through a chatbot, acknowledge users and route cases to the responsible department. Analyse recurring issues for maintenance and dynamically allocate resources. Include staff training support and evaluate complaint-detection accuracy, registration/resolution speed, satisfaction and scalability while integrating with the existing platform.

No. 352Problem statementMobility and logistics

Artificial intelligence in logistics and SCM

The source names AI-based logistics and supply-chain management for stores, spares and rations. It is a broad stated application area and does not identify a specific algorithm, workflow, scale or commercial model.

No. 537Problem statementMobility and logistics

Simple Artificial Intelligence Based Prediction Model for Bird Hazard Management System

The Indian Air Force wants a real-time model of bird-aircraft collision risk around target airfields. One module should estimate typical seasonal bird density from field observations, historical patterns and expert knowledge; a second should adjust forecasts for the next 24 hours to three days using live weather and remote-sensor data; a third should quantify species-level hazard from strike frequency, damage and bird mass.

No. 626Problem statementMobility and logistics

Standardisation of GCS

Standardise the Indian Army's ground-control stations across unmanned aerial vehicles. The source asks for modules that convert existing and already-planned stations into a common station usable across vehicles, plus standard conditions that future vendors must follow so later systems conform without retrofit.