Cropmind Inc. is seeking to enhance its existing web application designed for detecting and analyzing apple and grape crops. The current solution requires updates to align with newly gathered business requirements, which aim to improve the accuracy and efficiency of crop detection and analytics. The project involves refining the detection algorithms, enhancing the user interface for better usability, and integrating new data analytics features to provide more insightful reports. The goal is to ensure that the updated application meets the latest industry standards and user expectations, thereby offering a more robust tool for farmers and agricultural professionals. This project provides an opportunity for learners to apply their knowledge in web development, data analytics, and user experience design.

The project deliverables include an updated version of the web application with improved crop detection algorithms and an enhanced user interface. Additionally, the team will deliver a comprehensive report detailing the changes made, the rationale behind them, and the expected impact on user experience and analytics accuracy. The final deliverable will be a presentation demonstrating the updated features and their benefits to stakeholders.