Abstract: This research utilizes the YOLOv9c model, an advanced object detection web application, integrating it into a Flask framework. The proposed method involves dataset gathering from users, data ...
A lightweight REST API backend built using Flask and SQLite for storing and managing environmental sensor readings. This project is inspired by the UCSC OSRE / ENTS (Environmental NeTworked Sensor) ...
A comprehensive healthcare AI application that leverages machine learning to predict diabetes risk based on medical parameters. Built with Flask and scikit-learn, featuring professional architecture ...
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