Bharat in Betastartup field guide
← Back to the atlas
No. 626Problem statementMobility and logistics

Standardisation of GCS

Source

Source summary

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.

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. 681Problem statementMobility and logistics

Automated Decision Tool to conduct Helicopter and Fixed wing operations in Himalayan Belt of Indian region based on the Weather Conditions of Passes and Valleys estimated by the module

Develop a Himalayan aviation decision tool that overlays current satellite cloud information on a digital elevation model. The request covers estimates of cloud amount in selected valleys or other terrain areas, finer-resolution interpolation suited to mountains, and compatibility with satellite imagery covering India, including Himawari, Meteosat, MODIS and INSAT. A terrain resolution finer than 100 metres is preferred. The tool supports helicopter and fixed-wing operations; forecast accuracy is not established by the challenge.