People nowadays suffer from a variety of diseases as a result of the environment and their lifestyle choices. As a result, predicting sickness at an early stage becomes a critical task. However, doctors find it challenging to make precise predictions based on symptoms. The most difficult challenge is correctly predicting sickness. To solve this problem, machine learning plays a critical role in disease prediction. Medical science generates a vast amount of data each year. The proper analysis of medical data has been benefited from early patient care due to the increased amount of data growth in the medical and healthcare fields. The project provides a broad disease prediction based on the patient's symptoms. For effective disease prediction, we employ the Naive Bayes, Decision Tree, and Random Forest machine learning algorithms.
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ℹ️ Project information
Your Theme : Health
Project Name: Predictor
Short Project Description: Predicts the disease by taking symptoms from the user.
Team Name: DeepCoder
Team Members: Deepthi V N - Deepthi1810
Demo Link: https://youtu.be/VQcS4GR43uU
Presentation Link: https://docs.google.com/presentation/d/1a9qH6shDES3eJxMy33unGjIvhLI-rnooTaB7kwhLRo8/edit?usp=sharing
Repository Link: https://github.com/Deepthi1810/Predictor-HackX
🔥 Your Pitch
People nowadays suffer from a variety of diseases as a result of the environment and their lifestyle choices. As a result, predicting sickness at an early stage becomes a critical task. However, doctors find it challenging to make precise predictions based on symptoms. The most difficult challenge is correctly predicting sickness. To solve this problem, machine learning plays a critical role in disease prediction. Medical science generates a vast amount of data each year. The proper analysis of medical data has been benefited from early patient care due to the increased amount of data growth in the medical and healthcare fields. The project provides a broad disease prediction based on the patient's symptoms. For effective disease prediction, we employ the Naive Bayes, Decision Tree, and Random Forest machine learning algorithms.
✅ Checklist
Before you post the issue: