Update README.md

README.md

@@ -2,7 +2,6 @@
 license: mit
 ---
 
-
 # AI Health Assistant
 
 This project is a Flask-based web application that provides several machine learning-powered features such as:
@@ -14,7 +13,7 @@ This project is a Flask-based web application that provides several machine lear
 - General Chat powered by LLaMA 3.1 API hosted on Groq Cloud for AI-powered conversations.
 
 The project is divided into two main parts: Backend (Flask) and Frontend (HTML, CSS, JavaScript), with a connection to pre-trained machine learning models.
-## Project Setup
+### Project Setup
 
 -  **System Requirements:**
     - Python 3.8+
@@ -41,7 +40,9 @@ The project is divided into two main parts: Backend (Flask) and Frontend (HTML,
     │   ├── script.js
     ├── app.py
     ├── requirements.txt
-## Backend
+
+
+### Backend
 
 **Counseling Response Generation:**
 - Generates counseling-related responses using a GPT-2 mental health model.
@@ -58,7 +59,8 @@ The project is divided into two main parts: Backend (Flask) and Frontend (HTML,
 **General Chat:**
 - Offers general chat responses using LLaMA 3.1 API hosted on Groq Cloud for AI-powered conversations.
 
-## Frontend
+
+### Frontend
 
 **Diabetes Classification Tab:**
 - Form input for glucose, BMI, and age to classify diabetes risk.
@@ -74,7 +76,9 @@ The project is divided into two main parts: Backend (Flask) and Frontend (HTML,
 
 **Dark Mode:**
 - Toggle dark mode for user interface customization.
-## Usage
+
+
+### Usage
 
 1. **Access the Application:** Users interact with the web interface, accessible through a browser once the Flask server is running.