This project aims to develop a machine learning model capable of classifying diseases in corn leaves. Utilizing image processing technology and machine learning algorithms, this model can identify various disease types from images of corn leaves.
- Corn Cercospora Leaf Spot/Gray Leaf Spot
- Corn Common Rust
- Corn Healthy
- Corn Northern Leaf Blight
- Python: The primary programming language for project development.
- FastAPI: A modern, fast web framework for building APIs with Python.
- PyTorch: A machine learning framework for training models.
- Matplotlib: A library for creating static, interactive, and animated visualizations in Python.
- Requests: To send requests to the API model.
- Streamlit: An open-source app framework for Machine Learning and Data Science projects.
- Google Gemini: LLM Model from Google, to give suggestion to users.
- Clone this repository to your local system.
- Install all required dependencies using
pip install -r requirements.txt. - Run api with
uvicorn api:app --reloadand then Run Streamlit app withstreamlit run app.py - Try it!
