README

Medical Assistant - AI-powered Symptom Diagnosis This project provides a basic medical assistant that uses Artificial Intelligence (AI) to help diagnose symptoms based on user input.

FEATURES

• Takes user input for symptoms (comma-separated).
• Analyzes symptoms based on a knowledge base or machine learning model (depending on your implementation).
• Recommends potential diagnoses.

USAGE

• Enter your symptoms separated by commas (e.g., fever, cough).
• The program will analyze the symptoms and suggest potential diagnoses.

Technology Stack:

Frontend: HTML, CSS, JavaScript (JS) Backend: Python (Spark for model processing) Machine Learning Model: Collaborative Filtering (ALS) for backend we are using flask and ngrok

How to use

authentication token of ngrok (only run once, don't run twice) if error occurs if end points crosses //reset token then authentication token will be changed. use new one //upload static folder //upload the templete folder //upload the datasets we are using the colab notebook for running the code. simply download the files. upload it in the colab .upload foladers also.then make a account on ngrok copy paste the authtoken

create a templates folder and store index.html there

create a static folde rand export data of zip file there