AgrowCredit

AgrowCredit is an end-to-end BFSI application for increasing credit lending to rural farmers using the power of predictive analysis and Generative AI.

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Inspiration

Small-scale farmers in India often face significant challenges in accessing credit, hindering their ability to invest in essential resources like seeds, fertilizers, equipment, and irrigation systems. This lack of access to capital limits their productivity, income potential, and overall growth. Traditional financial institutions often view small-scale farmers as high-risk borrowers due to factors like fragmented land holdings, limited collateral, and unpredictable weather patterns.

This situation created the need for us to develop "AgrowCredit" to increase small-scale lending to rural Indian farmers who do not have credit histories.

What it does

AgrowCredit, a web application, aims to revolutionize rural lending in the APAC region. It tackles the challenge of limited access to loans faced by farmers due to the absence of traditional credit histories.

Our product aims to tackle the difficulty faced by BFSI companies to extend credit to rural farmers due to missing credit histories by leveraging Generative AI and predictive analysis and streamlines the entire loan application process. It provides a solution to assess creditworthiness and risk assessment associated with extending credit and a method for fraud detection. Our aim is to streamline the loan application process for banks and NBFCs, reducing loan turnaround times and workload.

By leveraging data from government sources, how Adhaar and PAN database does it in India (data of central governmental databases connected to social security numbers), AgrowCredit generates comprehensive credit scores using AutoML algorithm, considering weighted parameters like crop yield, cash flow, and risk capacity.

AgrowCredit leverages Generative AI to provide intelligent customer support and automates the process of drafting various financial documents, further accelerating loan applications. It also uses enterprise search methods to provide information about agricultural practices and other data associated to agro-lending to help make better decisions.

As an end-to-end solution for both public and private institutions in the BFSI sector, AgrowCredit fosters financial inclusion for rural farmers.

How we built it

We initially started with solving the central issue, i.e. developing a comprehensive credit worthiness score, and then utilizing Generative AI capabilities to further streamline the loan sanctioning process.

Challenges we ran into

Developing a data-pipeline, and streamlining the entire loan sanctioning process to prove to be an effective problem solver for the BFSI lending industry.

Accomplishments that we're proud of

The initial version of the product, i.e. AgrowCredit 1.0 was the runner-up in the EY Techathon 4.0 on Generative AI, organized by EY India among 125,000 students and 7000+ submissions in India.

What we learned

Developing an AI-driven product, especially on a social-economic topic like farmer poverty comes with a lot of responsibility, and also is a huge challenge for developing a product which can actually positively impact the lives of the end-benefiter, i.e. the rural farmers without credit histories.

What's next for AgrowCredit

AgrowCredit can be deployed as an actual product if we can convince banks of it's effectiveness, and how increasing lending to farmers has an untapped business potential.

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