import streamlit as st
st.markdown("""
ABOUT THIS APPLICATION 🚀
""",unsafe_allow_html=True)
st.markdown("""This application will revolutionize industries by transforming vast amounts of data into valuable insights.it enables accurate disease diagnosis and personalized treatments. In finance, it powers fraud detection, credit scoring, and investment strategies. E-commerce and social media utilize data science for personalized recommendations and targeted advertising. Transportation systems optimize routes and predict demand, while education employs adaptive learning techniques for customized student experiences. Manufacturing benefits from predictive maintenance, reducing downtime and costs. From weather forecasting to sports analytics and entertainment, data science enhances decision-making, efficiency, and innovation. Its impact is pervasive, driving advancements in every sector.""",unsafe_allow_html=True)
st.markdown("""INTRODUCTION ABOUT AUTHOR
""",unsafe_allow_html=True)
st.markdown("""This is Gopiankith Sappidi,The junior data scientist trainee,worked on several projects in the domain Datascience and aquired immense knowledge on various modules in Datascience.
""",unsafe_allow_html=True)
st.markdown("""As a Data Science trainee, I am actively learning to analyze, interpret, and visualize data to drive meaningful insights. My focus includes mastering machine learning, statistical analysis, and programming tools like Python and SQL. Passionate about solving real-world problems, I am dedicated to building a strong foundation for impactful data-driven solutions.""",unsafe_allow_html=True)
st.markdown("""""",unsafe_allow_html=True)