Medicinal Plant Classification- AI Course Project

This is AI course semester project offered during 3rd Semester at IIT Dharwad.It was a group Project done by total 6 peoples.This project aims to classify different types of plants using deep learning techniques focusing CNN.

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Introduction

Plant classification is an important task in agriculture, botany, and environmental science. This project utilizes deep learning to automatically classify images of plants into different species or categories.

Tech Stack Used:

• Tensorflow, Keras (for building CNN model)
• Streamlit (for frontend)
• numpy, pandas (for data processing)
• matplotlib, seaborn (for data visualization)

Usage

To use the plant classification model, follow these steps:

1. Clone the repository:
   

• git clone https://github.com/hackerpranavpandey/AI-Course-Semester-Project.git

2. Navigate to the project directory:

• cd AIProject

3. Install the dependencies:

• pip install streamlit -q
• wget -q -O - ipv4.icanhazip.com

4. Run the application:

• streamlit run ./main.py &
• npx localtunnel --port 8501

5. Upload an image on the website and get the result!