Bharat in Betastartup field guide
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No. 1433Problem statementEnergy and environment

AI-Based Spring Revival and Recharge Planning for Tribal Areas

Source

Source summary

Develop an AI/ML geospatial decision-support system for spring-revival planning in hilly and tribal areas. Combine available geological structures, spring location and discharge, terrain and drainage, rock formations, rainfall, land cover, existing recharge works and field or community observations to estimate probable recharge zones. Produce probability-based suitability and priority maps, indicate uncertainty under uneven data quality, and suggest intervention locations and indicative recharge measures. Flag locations with limited expected suitability or geological and landslide risks. Provide an interactive GIS interface that supports field validation and incorporates later observations and spring-discharge measurements to reassess the model.

No. 190Problem statementEnergy and environment

Grey Water Management - Solutions for grey water management and re-use for urban and rural households

Develop simple, efficient and affordable management and reuse of greywater, explicitly excluding sewage. The setting includes urban and rural households as well as stations, airports and shopping centres, with the aim of reducing freshwater demand and wastewater discharge.

No. 196Problem statementEnergy and environment

Energy Data Management - Solutions to develop a entralized database for Renewable Energy Access through API

Create a central renewable-energy database, with API access as specified in the title, to make solar, wind and other potential renewable-resource information easier to monitor and use. The source contrasts this with the household-electrification monitoring portal; it is not simply a household billing dashboard.

No. 699Problem statementEnergy and environment

Fuel consumption optimization using AI-based tools

Develop AI-based tools that adjust ship fuel use with reference to weather, engine performance, cargo load and manoeuvres. The source asks for lower consumption while respecting environmental rules, including IMO requirements, and overall operating efficiency and cost. It does not establish that a particular optimisation method delivers savings.