8000 GitHub - SurekhaSuresh/healthxpert-app: Developed a healthcare solution powered by ML featuring a chatbot for diseases, diabetes & PCOS classification using CNN, Decision Trees, Logistic Regression models & doctor-patient record management. Python Flask - Backend; TensorFlow & Scikit-learn - ML functionalities; MongoDB & MySQL - data management; JavaScript, HTML & CSS - Frontend.
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Developed a healthcare solution powered by ML featuring a chatbot for diseases, diabetes & PCOS classification using CNN, Decision Trees, Logistic Regression models & doctor-patient record management. Python Flask - Backend; TensorFlow & Scikit-learn - ML functionalities; MongoDB & MySQL - data management; JavaScript, HTML & CSS - Frontend.

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healthxpert-app

Developed a comprehensive healthcare solution powered by AI/ML featuring a user-friendly chatbot for diseases, diabetes, and PCOS classification using Convolutional Neural Networks, Decision Trees, Logistic Regression models, and seamless doctor-patient record management. Orchestrated the backend with Python Flask, integrated TensorFlow and Scikit-learn for ML functionalities, utilized MongoDB and MySQL for data management, and implemented JavaScript, HTML, and CSS for the frontend.

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Developed a healthcare solution powered by ML featuring a chatbot for diseases, diabetes & PCOS classification using CNN, Decision Trees, Logistic Regression models & doctor-patient record management. Python Flask - Backend; TensorFlow & Scikit-learn - ML functionalities; MongoDB & MySQL - data management; JavaScript, HTML & CSS - Frontend.

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