Bharat in Betastartup field guide
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No. 272Problem statementPublic services

Develop an AI/ML-driven Chatbot which is Ministry Specific to help the Citizens to resolve their common queries related to filing a Grievance in the CPGRAMS portal (https://pgportal.gov.in) and expedite smooth submission of grievances.

Source

Source summary

Develop ministry-specific AI/ML chatbots that answer citizens' questions about filing grievances on CPGRAMS and help them submit those grievances more smoothly.

No. 170Problem statementPublic services

GIS Solution - GIS solutions across sectors - agriculture, water, forestry, urban affairs, road transport etc.

Use GIS to analyse locations, relationships and patterns for decisions and resource management across agriculture, water, forestry, urban affairs and road transport. The source invites cross-sector applications rather than one water-treatment or infrastructure product.

No. 174Problem statementPublic services

Preventing Human Intervention - Innovations to mechanize cleaning of septic tanks, drainages and manholes

Mechanise cleaning of septic tanks, drains and manholes to remove the need for people to enter or directly clean hazardous sewage environments. The source frames the ask around worker dignity, deaths and exposure to disease, rather than general municipal efficiency alone.

No. 250Problem statementPublic services

Government of India offices receive multiple communications on paper in regional languages. These documents (both printed and handwritten) to be digitized using OCR and then translate then worked upon and then needs to be translated back and responded in original regional language.

Help government offices digitise printed and handwritten communications in Indian languages, translate them for processing, and respond in the sender's original language. The requested open-source, cloud-based OCR service includes batch processing, image preparation, editable text, metadata, templates, forms and table extraction, handwriting recognition and multiple output formats. Targets are word-level accuracy above 95% and latency below one second per page; the source presents these as requirements, not demonstrated performance.