Frequently Asked Questions
Answers to common questions about the Health Care Center AI Symptom Checker.
This application is an AI-based symptom checker built for learning and awareness.
It helps you understand possible health conditions based on the symptoms you enter,
but it does not replace professional medical advice.
No. The predictions are generated by a machine learning model trained on a dataset.
It can only give an approximate idea of possible conditions. For any serious,
persistent, or emergency symptoms, you should always consult a qualified doctor or
visit a hospital.
Type your symptoms as comma-separated keywords. For example:
headache, high_fever, nausea.
Use the same symptom names shown in the suggestions list (like skin_rash,
joint_pain, etc.) for accurate predictions.
The backend uses a machine learning model (Support Vector Classifier) trained on
a dataset of symptoms and diseases. Your symptoms are converted into a numeric
vector and passed to the model, which then predicts the most likely disease index.
The app then looks up descriptions, precautions, medications, diets, and workouts
from CSV files.
The project is built using:
- Python & Flask for the backend
- scikit-learn for the machine learning model
- pandas for reading CSV-based datasets
- HTML, CSS, Bootstrap, and JavaScript for the frontend
This version of the project is primarily for learning and demo purposes.
Symptom inputs are processed to generate a prediction and are not intended
to be stored permanently in a database. If logging is enabled for debugging,
it should be handled carefully without storing personal details.
This application was developed by Nishant Kumar as a learning project
combining web development and machine learning.
You can visit the Developer page for GitHub, LinkedIn and contact
details.