import streamlit as st import pandas as pd import numpy as np # Custom CSS for styling custom_css = """ """ # Inject the CSS into the app st.markdown(custom_css, unsafe_allow_html=True) # What is an Image st.markdown("

Project-1

", unsafe_allow_html=True) st.markdown("

Dont Drink & Drive (animation using opencv)

", unsafe_allow_html=True) st.markdown( "

" "Designed engaging environments using cv2.line, cv2.circle, and cv2.rectangle for elements like roads, vehicles, and characters." "

", unsafe_allow_html=True ) st.markdown( "

" "Delivered strong messages like “Don’t Drink and Drive” with cv2.putText to enhance awareness." "

", unsafe_allow_html=True ) st.markdown( "

" "Enabled user-driven customization through cv2.setMouseCallback, making the experience interactive and fun." "

", unsafe_allow_html=True ) st.markdown( "

" "Visualized the story in real-time using cv2.imshow and cv2.waitKey for seamless execution." "

", unsafe_allow_html=True ) st.markdown("

GIF Creation (animation using opencv)

", unsafe_allow_html=True) st.markdown( "

" "Produced captivating GIFs showcasing dynamic scenes where shapes, texts, and animations flow smoothly to engage the audience." "

", unsafe_allow_html=True ) st.markdown( "

" "cv2.line, cv2.circle: To craft essential shapes." "

", unsafe_allow_html=True ) st.markdown( "

" "cv2.putText: For adding meaningful annotations." "

", unsafe_allow_html=True ) st.markdown( "

" "cv2.imshow, cv2.waitKey: To bring animations to life frame by frame." "

", unsafe_allow_html=True ) st.markdown( "

" "You can explore the code examples on GitHub:
" "Project
" "

", unsafe_allow_html=True )