This repository houses a plant detection prototype developed for the Smart India Hackathon (SIH) 2023. The project is designed to leverage cutting-edge machine learning techniques for the identification and classification of various plant species. The primary goal is to address the challenges faced in Ayurvedic Pharmaceutics, specifically the accurate identification of medicinal plants and raw materials.
- Real-time plant identification through image processing.
- Integration of machine learning algorithms, including Convolutional Neural Networks (CNN), for precise classification.
- Provision of an intuitive app and web-based platform for user-friendly interactions.
- Accessibility features, including an offline mode for users in remote areas.
- Clone the repository.
git clone https://github.com/yashwaldia/Plant-Detection