AI-based Market Intelligence Systems for Farmer Collectives: A Case Study from India
Publication: ACM Digital Library
The project is a sub-part of a larger initiative under the Google AI for Social Good program and is in collaboration with ACT4D - IIT Delhi, Gram Vaani, and CCD.
- Digitalization Tool: Developed a tool using the ODK Collect Framework to introduce digitalization of data records, eliminating redundant data collection practices.
- Market Development: Currently exploring options to develop a digital market for crop price surveillance, considering the CoRE Stack: Commoning for Resilience and Equality.
- Recognition: Received an honorable mention for "Best Presentation" at the mid-program AI4SG workshop hosted by Google, commended for progress in field deployments and test pilots. Workshop Projects
- System Architecture: Figma
- Application FlowChart: Figma
- Mid Program AI4SG Workshop: YouTube
- Current Status of the Application (Visuals): Google Drive
- Application Description (SlideShow): Google Slides
- APK Download: Google Drive
- Download and install the latest version of Android Studio.
- Clone this repository. The app files reside in the
android app/directory.
Firebase Project: Firebase Console
- Previously, we released a debug version of the application on Google Drive, which took up significantly more storage space. It is advisable to build a release version and sign it with a private keystore, as shown here.
- Recommendation data was stored in CSV files on the remote server, pushing to Firebase. This approach used CSV files as a database within the app. We are now in the process of migrating to Room database.