AI_NANBAN_CBSE / home.py
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import streamlit as st
def home():
st.markdown("""
<style>
.title {
color: purple;
font-size: 30px;
}
</style>
""", unsafe_allow_html=True)
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)