Rainfall-Prediction-end-to-end-ML-project

The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.

Tech Stack

• Front-End: HTML, CSS
• Back-End: Flask
• IDE: Jupyter notebook, vscode

CONCLUSION

XGBoost and Random Forest performed better compared to other models. However, if speed is an important thing to consider, we can stick with Random Forest instead of XGBoost.

Improvements that can be done:

Here we can collect more data and use neurals networks more computational power could be really usefull for us