Overview
Build an ML-powered advisory tool that helps farmers optimize yield based on soil and weather data.
Areas of interest
Artificial IntelligenceAgriTechData Science
What you'll learn
Skills you'll gain
- Machine learning model development
- Data preprocessing & feature engineering
- Domain research in agriculture
Tools & technologies
- Python
- scikit-learn
- Pandas
- Streamlit
Outcomes
- A working ML prototype
- A research-backed product brief
- A demo presentation to the partner team
Pre-requisites
- Comfort with Python basics
- Curiosity about agriculture and rural systems
- Willingness to engage with field data
Who is this for?
- Students exploring AI/ML careers
- Anyone interested in climate & food systems
Ready to take on this project?
Apply now and start working on real-world impact with our partner team.