Bharat in Betastartup field guide
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No. 1305Problem statementSpace and research

Development of personalized homepage for 'Mausam' mobile application:

Source

Source summary

The Mausam homepage proposal personalizes weather information for different activities: health, outdoor fitness, beach use, travel, family routines, agriculture, commuting and events. It names AQI, pollen, UV, humidity, daylight, tides, waves, soil moisture, rain/frost warnings and destination or traffic context as relevant examples. It is a homepage relevance concept, not evidence that every underlying data feed is already available.

No. 1301Problem statementSpace and research

WeatherGPT: Conversational AI for Weather Forecasting, Alerts, and Climate Information

WeatherGPT proposes mobile conversational access to current weather, forecasts, warnings and climate history using meteorological databases, APIs and numerical models such as GFS/WRF. It should offer location-aware answers, Indian-language and voice interaction, real-time ingestion and extreme-weather alerts. Evaluation should cover accuracy, relevance, latency, accessibility, scale and live-system integration, rather than assume a language model itself produces reliable forecasts.

No. 528Problem statementSpace and research

Analysis of SAR imagery using various tech to include SAR & EO Imagery fusion and Metadata exploitation.

The source notes that synthetic-aperture-radar imagery remains useful at night and in bad weather but is hard to interpret without optical references and specialist knowledge. It suggests, rather than mandates, fusing SAR and electro-optical imagery, extracting changes, and using user-defined stable terrain, infrastructure or standard targets to enhance readability. It also asks for software that exposes material-related information derivable from SAR metadata while keeping observations distinguishable from enhanced or substituted content.

No. 592Problem statementSpace and research

Training Simulator for Space Activities

Develop a software simulator for periodic training on dynamic space-based contingency scenarios and for testing proposed countermeasures once they exist. The simulator should be scalable so additional feasible scenarios and their countermeasures can be incorporated over time; the page does not define scenario content or evaluation metrics.