ai-ml-ops-cameroon/crop-yield-predictor

An end-to-end project predicting crop yields based on weather and soil data. AI Concern: The model architecture (e.g., XGBoost, LSTM) and feature engineering. ML Concern: The pipeline for data fetching, pre-processing, training (or retraining on a schedule), and deploying the model as an API for farmers