Title of Project: PLANT DISEASE DETECTION USING CNN BASED DEEP LEARNING MODELs

Team Members:

1. Akhilesh Singh
2. Awadhesh Kumar Maurya
3. Ayush Prakash

Steps for Execution:

1. You must have Python3.8 installed in your machine.
2. Create a Python Virtual Environment & Activate Virtual Environment Link
3. Install all the dependencies using below command pip install -r requirements.txt
4. Go to the Flask Deployed App folder.
5. Download the trained model file plant_disease_model_1.pt
6. Add the downloaded file in Flask Deployed App folder.
7. Run the Flask app using below command python3 app.py
8. You can also use downloaded file in Model Section and play with it using Jupyter Notebook.

⭐Testing Images If you do not have leaf images then you can use test images located in test_images folder Each image has its corresponding disease name, so you can verify whether the model is working perfectly or not

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)✅
10. Project Report ✅