Update home.py

home.py

@@ -2,59 +2,24 @@ import streamlit as st
 
 def home():
     st.markdown("""
+        <style>
+        .title {
+            color: purple;
+            font-size: 30px;
+        }
+        </style>
+        """, unsafe_allow_html=True)
 
-# Face Recognition Web App
-
-A web application using face recognition in Python with Streamlit.
-
-## Introduction
-
-This project utilizes the face recognition Python module to build a web app powered by Streamlit. It allows users to perform face recognition tasks interactively.
-
-## Features
-
-- Face detection and recognition
-- Streamlit for a user-friendly web interface
-
-## Installation
-
-1. Clone the repository:
-
-```bash
-git clone https://github.com/CrimsonREwind/face-recognition-web-app.git
-cd face_recognition
-```
-
-2. Install dependencies:
-
-```bash
-pip install -r requirements.txt
-```
-
-3. Run the Streamlit app:
-
-```bash
-streamlit run app.py
-```
-
-Visit `http://localhost:8501` in your browser to access the web app.
-
-## Usage
-
-- Open the web app in your browser.
-- You can use register page to register your face in database
-- You can use login page to see if user is registered or not
-- All the activities like login, register will be stored in log file
-
-## Contributing
-
-Feel free to contribute to the project! If you find bugs, have feature requests, or want to improve the code, follow these steps:
-
-1. Fork the repository.
-2. Create a new branch: `git checkout -b feature/bugfix-your-feature`.
-3. Commit your changes: `git commit -m 'Add some feature'`.
-4. Push to the branch: `git push origin feature/bugfix-your-feature`.
-5. Submit a pull request.
-
-
-        """)
+    st.markdown("""
+        <h1 class="title">AI NANBAN</h1>
+        <p>A AI Personalised Coach application for CBSE Classs using face recognition.</p>
+        <h2>Introduction</h2>
+        <p>This project utilizes the face recognition Python module to build a web app powered by Streamlit. It allows users to perform face recognition tasks interactively.</p>
+        <h2>Features</h2>
+        <ul>
+            <li>Face detection and recognition of Students</li>
+            <li>Customised Quiz Generation for Students based on CBSE Class notes</li>
+            <li>Personalised Score tracking of students for progress tracking</li>
+        </ul>
+        <p>An Initiative by Koodapakkam school, Suggestions are Welcome to email id</p>
+        """, unsafe_allow_html=True)