
AI powered plant disease detection and assistance platform currently available as an App and API.
The SUSya Plant Disease Detector is an innovative mobile application that leverages machine learning to assist farmers in detecting and responding to crop diseases effectively. Designed with farmer accessibility in mind, this app aims to mitigate crop damage and ensure better yields by providing timely alerts and remedies. It employs state-of-the-art technology to recognize diseases in crops and offers solutions to prevent future occurrences.
In a world where agricultural practices increasingly rely on technology, SUSya stands out with its user-friendly interface and robust performance. It is a powerful tool for farmers dealing with common crops such as Cherry, Pepper, Potato, and Tomato, particularly focusing on the Kerala region. The integration of machine learning ensures accurate diagnosis, while the feature set empowers users to take proactive measures against potential outbreaks.
Machine Learning Powered Detection: Utilizes a CNN-based multi-class image classifier built on the PyTorch framework, capable of identifying 17 different disease states across four plant types.
Real-Time Notifications: Sends alerts to other users in the vicinity about detected plant diseases, helping the farming community take preventive measures against potential outbreaks.
Remedy Suggestions: Offers actionable solutions for the detected diseases, assisting farmers in effectively managing crop health.
PDF Reporting: Generates detailed PDF reports that include diagnosed diseases and remedies, which can be used to seek assistance from local agricultural services.
User-Friendly Interface: Features Google OAuth authentication and a personal profile page, making navigation and operation seamless for all users.
Image Capture and Preview: Allows farmers to take photos of their crops directly through the app, providing a preview before submission for analysis.
API Integration: Utilizes a Flask-based API that enhances functionality with image processing and real-time disease reporting features.
Impact Reduction: Aims to decrease the impact of plant diseases significantly, ensuring healthier crops and better harvest outcomes for farmers.

Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
Firebase offers a comprehensive set of features, including real-time database, authentication, hosting, cloud functions, storage, and more. Firebase provides an easy-to-use interface and allows developers to focus on building features rather than managing infrastructure.