/University-AI-Project

Web App depends on ML in Detecting diabetes in its early stages so that doctors can treat it. Also the web site includes some important information about the disease and its symptoms. Check it out for more details.

Primary LanguageJupyter NotebookMIT LicenseMIT

AI Project (Diabetes Prediction)

All Contributors

Diabetes Prediction 🔽

We Present a Web App depends on Machine Learning for quickly and accurately diagnose. As we know, ML can help people make a preliminary judgement about diabetes mellitus according to their daily physical examination data and it can serve as a reference for doctors.
Also, our site provides some important information about the disease and its symptoms.:memo:

🛠 TOOLS AND SOFTWARE RESOURCES:

  • Kaggle (for the dataset)
  • Python libraries like (pandas, numpy, pickle, sklearn,.. and more to add according to the project.
  • Random Forest Algorithm
  • Anaconda(Jupyter) for working with data, Visual Studio(Web App + Flask for deployment), Phpstorm and pycharm.

💡 Why Random Forest? (📁Click)
  • Random Forest gave us an accuracy of 78.8% on the test data.
  • Random Forst was better than logistic regression. Also, it was better than the single dicision tree.
  • Random Forest not only showed us alot of importance to the Glocuse Feature, but it also chooses BMI to be the 2nd most informative feature overall.

📌 The Web App

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📌 The Video 📹

The project is explained there. Just raise up the voice and feel free to use English subtitles (Translation) ✔️

Check the video description (:file_folder:Click)

Contributors 👤


Moataz Elmesmary
💻ML
Alyaa Kshta
💻Web
Mahinar Kamal
💻Web
Farida Amgad
💻ML
Nadeen Serag
💻Web

Show your support✨

Give us a ⭐️ if you like this project!