Project information
- 🎯 Objective:: The primary objective of MedoPad project is to create a unified, AI-driven platform that facilitates the detection of multiple diseases, offering instant home-based testing. This project aims to transform healthcare by making diagnostic processes more accessible, efficient, and prompt, empowering individuals to manage their health directly from their homes.
- Date: Sep 2023 - Jan 2024
- Report of the Project: Report
- Github Link: GIthub Link
Description:
💡 Features:
- 1.𝙐𝙣𝙞𝙛𝙞𝙚𝙙 𝘿𝙞𝙨𝙚𝙖𝙨𝙚 𝘿𝙚𝙩𝙚𝙘𝙩𝙞𝙤𝙣 𝙋𝙡𝙖𝙩𝙛𝙤𝙧𝙢 : Combines the capabilities to detect seven different diseases through a single interface, simplifying user interaction and streamlining diagnostics.
-2.𝘾𝙪𝙨𝙩𝙤𝙢 𝘼𝙄 𝙈𝙤𝙙𝙚𝙡𝙨 :
- 𝘾𝙪𝙨𝙩𝙤𝙢-𝙢𝙖𝙙𝙚 𝘾𝙉𝙉𝙨: Specifically designed for high accuracy in detecting COVID-19, brain tumors, and pneumonia.
- 𝙑𝙂𝙂-16 𝙐𝙩𝙞𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 : Employed for feature extraction in brain tumor detection to enhance diagnostic precision.
- 𝙍𝙖𝙣𝙙𝙤𝙢 𝙁𝙤𝙧𝙚𝙨𝙩 : Used for breast cancer and diabetes detection, providing robust predictive power.
- 𝐗𝐆𝐁𝐨𝐨𝐬𝐭 : Implemented for heart disease detection, known for its effectiveness in handling diverse datasets.
3.𝙃𝙞𝙜𝙝 𝘼𝙘𝙘𝙪𝙧𝙖𝙘𝙮 𝙍𝙖𝙩𝙚𝙨 : The AI models have been tested to deliver high accuracy rates across various diseases, demonstrating their effectiveness in medical diagnostics.
4.𝐈𝐧𝐬𝐭𝐚𝐧𝐭 𝐓𝐞𝐬𝐭 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 : Delivers diagnostic results instantly, making the testing process quick and efficient, which is crucial for early disease management and treatment planning.
- 5.𝐑𝐞𝐦𝐨𝐭𝐞 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 :Allows users to perform tests and receive results from the comfort of their homes, reducing the need for physical clinical visits.
- These features highlight the project's innovation in integrating AI technology into healthcare, providing a comprehensive, efficient, and user-friendly medical diagnostic tool.