Title of Project: Fasal Prahari- Sustainable Crop Safety Using ML & IOT

Team Members:

1. Kapil Singh 2100290100082 CSE-B
2. Rani Asmit 2100290100129 CSE-B
3. Prateek Kumar 2200290109010 CSE-B
4. Himanshu Sonker 2200290109007 CSE-B

Steps for Execution the ML Diease Prediction Model:

1. Open Frontend.ipynb in colab/VS Code
2. Exceute all the cells.
3. Gradio Link is generated.
4. Open the link, upload the picture.
5. Get diease predicted.

Steps for Execution the ML Yield Prediction Model:

1. Open YLDFrontend.ipynb in colab/VS Code
2. Exceute all the cells.
3. Gradio Link is generated.
4. Open the link, enter the data manually.
5. Get yield predicted,

Checklist:

1. Final Project Report
2. Certificate VII Semester (Dated: December 2024).
3. Certificate VIII Semester (Dated: May 2025).
4. Synopsis
5. Final Presentation
6. Source Code
7. Database dump (.sql file)
8. If a web project, then a Docker file for deployment
9. README (This file)