marknature/AgriLite-FL

AgriLite-FL is an intelligent and lightweight agricultural analytics platform designed for smallholder farmers in Africa, particularly in regions like Zimbabwe. # 🌾 AgriLite-FL *A Resource-Constrained Federated Learning System for Soil-Based Crop Recommendations* ## 🌍 Overview **AgriLite-FL** is an intelligent and lightweight agricultural analytics platform designed for smallholder farmers in Africa, particularly in regions like Zimbabwe. It integrates **Federated Learning (FL)**, **Computer Vision (CV)**, and **Natural Language Processing (NLP)** to provide farmers with actionable insights — while ensuring **data privacy**, **local adaptability**, and **low computational cost**. The project extends ideas from **Harvestify** and integrates concepts inspired by the **Multiverse of 100+ Data Science Project Series** repository to enhance modularity, scalability, and learning efficiency. ### Team #### AgriLite Team Members | Name | Role/Position | ID | |-----------------------------|-----------------------------------------|---------| | Donald Muyezwa | DevOps Engineer | 230330 | | Rutendo Zimbodza | AI Researcher | 230135 | | Grace N. Ndhijhu | UI & UX Designer | 220044 | | Anotidaishe Mutata | AI Project Manager | 230313 | | Mark Chindudzi | Applied Scientist & Lead Developer | 230378 | | Tadiwanashe Chifura | AI Researcher | 230002 | | Jeremy Mukadi | Domain Expert | 230603 | | Taropafadzwa Kaseke | AI Project Lead | 230204 | | Christian Nkulu | Ethics Analyst | 220359 | | Michael T. Mafemba | Quality Assurance | 230129 | | Farai Mawire | Marketing Specialist | 230503 | ### Additional Suggestions - **Roles/Positions:** You can specify roles or responsibilities for each team member if applicable to provide m …