A MASL project to provide a bountiful harvest to farmers by providing real-time information as regards the farm, the soil, and the produce.
- Description
- Tech stack
- Design
- Features
- Getting Started
Cassava.AI is a Cassava Farm Management System for small and medium-scale farmers which aims to help farmers optimize cassava yield by leveraging data and machine learning (ML). The software product takes into consideration factors like rainfall, humidity, planting season, soil type and pH, and a host of other factors to ensure the optimization of cassava yield.
- Flutter for the user interface.
- http package for API communication.
- TypeScript with NestJs for server-side development.
- MongoDB for data storage.
- JWT for user authentication.
- Azure AI for training and deploying machine learning models.
- Pacrum for end-to-end testing
- Postman for API testing
- Mobile based interface
- Add farm and tasks
- Inventory
- Market
- Scan Cassava feature
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