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AI-Powered Rural Credit Assessment

Alternative data credit intelligence for underserved rural borrowers.

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#ai #credit #financialinclusion

Challenge Timeline
  • Registration Opens

  • Proposal Submission

  • Finalists Shortlisted

  • Solutions Submitted

  • Winners Announced

All timings are as per (GMT +5:30) Chennai, Kolkata, Mumbai, New Delhi
Organized By

About Us

The National Bank for Agriculture and Rural Development (NABARD) is an apex development financial institution in India, established under an Act of Parliament in 1982. Headquartered in Mumbai, NABARD’s mandate is to facilitate credit flow and provide developmental support for agriculture, small-scale industries, cottage and village arts, and other rural enterprises. Committed to fostering sustainable rural development, NABARD acts as a key catalyst for financial inclusion, technological innovation in farming, and green climate initiatives across India.

The AI-Powered Rural Credit Assessment challenge is calling out for fintechs to build an AI-driven solution that helps financial institutions assess the creditworthiness of rural borrowers using alternative data sources — mobile usage patterns, farm yield history, mandi transactions, weather signals, and community-verified attestations. Your solution should be explainable, privacy-preserving, and deployable across last-mile rural branches.

Challenge Statements

AI-driven Alternative Credit Scoring

Build an AI-driven solution that helps financial institutions assess the creditworthiness of rural borrowers using alternative data sources — mobile usage patterns, farm yield history, mandi transactions, weather signals, and community-verified attestations. Your solution should be explainable, privacy-preserving, and deployable across last-mile rural branches.

Objectives

  1. Design a credit scoring model that works without formal credit history.
  2. Ingest alternative signals (agri output, satellite, mobile, UPI) with consent.
  3. Produce transparent, explainable scores that a branch officer can defend.
  4. Cover at least 3 rural loan use-cases : crop, dairy, and micro-enterprise.
  5. Package the solution as a REST API + demo UI usable on a low-bandwidth device.

Prize Pool

Up to ₹10,000 in prize money to be won

The prize pool for this challenge combines financial prizes and the opportunity to collaborate with NABARD to roll out their winning solution

Host
₹5,000 Prize Money
₹5,000 in prize money will be awarded to the first prize winner
Host
₹3,000 Prize Money
₹3,000 in prize money will be awarded to the second prize winner
Host
₹2,000 Prize Money

₹2,000 in prize money will be awarded to the third prize winner

Eligibility

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Media Centre

FAQ

1. What is the objective of the National Climate Stack Innovation Challenge?

The Challenge aims to advance credible near-term (10–15 year) climate hazard forecasting for India and translate climate data into decision-ready intelligence for agriculture, finance, and public policy.

2. Who can apply to the Challenge?

The Challenge is open to research institutions, universities, startups, private-sector innovators, public sector innovators, and other multidisciplinary teams with expertise in climate science, data, agriculture, finance, or related domains.

3. What types of climate hazards are in scope?

Applicants may focus on heat waves, extreme precipitation, floods, cyclones, drought and landslides relevant to India’s agricultural and rural systems.

4. Is use of DiCRA datasets mandatory?

Yes. All shortlisted solutions are expected to use DiCRA datasets as the core data backbone. Applicants may layer additional datasets where relevant, but DiCRA should remain central to the modelling approach.

5. Do applicants need to have an existing product or model?

An existing product, prototype, or prior publication is not mandatory, but applicants are encouraged to share links to any existing models, demos, code repositories, or publications, if available.

6. What is the timeline and time commitment for selected teams?

The Challenge will run from March to June 2026. Shortlisted teams should be available for a 6–8 week guided model development sprint, including engagement with the Technical Advisory Committee.

7. What happens after the Challenge?

Top solutions will receive cash awards and may be considered for post-Challenge pilots, integration with DiCRA, or adoption through NABARD and partner programmes, subject to feasibility and relevance.

Downloadable resources

Click here to download the Hackathon Rulebook
Click here to download the Hackathon Background Note

Contact

For AI-Powered Rural Credit Assessment related queries, please reach out to

innovationchallenge@nabard.org