The problem
Gig workers and small traders have irregular income and run short before bills arrive.
What to build
Build an app that uses user-consented bank data to forecast low-cash days and suggest which bills to shift or which buffer to build.
Success looks like
A forecast that predicts shortfalls a week ahead on historical data, with consent controls and data deletion at any time.
Suggested technologies
- Account Aggregator framework
- Time-series forecasting
- Consent management
- Budget nudges
- Secure storage
An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.