Visit the website 👉 plantex-earth.netlify.app
Smart City and Defense Hackathon Project
The focus of smart cities should not only be on infrastructure but also on environmental sustainability. Our project aims to address this by providing a solution for plant disease detection and promoting organic waste management.
We developed a convolutional machine learning model using TensorFlow and Keras to detect plant diseases. The model achieved an accuracy of 99% and is capable of predicting diseases in plants.
We used the Plant Village dataset for training our model. It contains diseased plant leaf images and corresponding labels.
- Plant Disease Detection: The model predicts diseases in plants based on input images.
- Disease Information: Future plans include providing detailed information about the predicted disease.
- Product Recommendations: We recommend products to cure the detected diseases and offer them for sale.
- Waste Management: We operate an offline store where users can exchange wet waste for organic manure.
- AI Chatbot: Implemented with prompt engineering on Gemini, the chatbot helps users navigate, search, and ask for information easily.
- Flutter App: We made a simple app in Flutter to provide easy access to the website, as the app is more accessible compared to conventional websites.
- Users can exchange 1 kg of wet waste for 1 kg of organic manure.
- The manure is made from the wet waste provided by users, ensuring it is 100% organic.
- Mobile App
- Website
This project was developed as part of a hackathon by our smartworking team. You can find more information about the hackathon and our project here.
Our project not only focuses on technological advancement but also on sustainable living in smart cities. By promoting organic waste management and providing solutions for plant diseases, we aim to contribute to a greener and healthier urban environment.