Plant Disease Detection with React, FastAPI & ML Model 🌱

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This presentation discusses the development and deployment of a software project, covering its architecture, frontend and backend technologies, and model training process. It includes an in-depth explanation of the server-model interaction, dataset utilization, training methodology, and challenges faced during implementation. The session concludes with a summary of the project's outcomes and potential improvements for future iterations.