The problem KrishiSahayak solves

Weather variability and extreme events pose significant challenges for farmers, impacting crop yield and agricultural productivity. To address this issue, KrishiSahayak aims to develop machine learning models capable of forecasting weather patterns and extreme weather events at a hyper-local level. By providing farmers with actionable insights derived from these models, KrishiSahayak empowers them to make informed decisions about planting, harvesting, and crop management practices.

Challenges we ran into

1. Utilising Google Map API to get the region of the farmers to predict the weather forecast and crop management.
2. We took a lot of time to get a good datasets for our model to implement and train it with different Python algorithms.
3. Connection of the models and the backend with the frontend again was a challenge but we manage to escape it and complete our project