A streamlit based webapp deployed at here

• LinkedIn Badge : how to create one for your profile?. Integrated using streamlit component
• Stackoverflow Flair : how to add a stackoverflow flair?. Integrated using streamlit component
• Career Snapshot: Built using streamlit_timeline
• Skills & Tools: Used streamlit buttons & columns features
• Education : Plotly(library for visualization) table
• Research Paper detailed brief description : streamlit images, streamlit metrics, streamlit expander & plotly.express grouped barplot
• Achievements : streamlit markdown (great to embed HTML codes)
• Medium profile : Basic web scrapping. Profile preview generated using pixelpoint's medium widget
• Daily routine : Graphviz library
• ML models integrated : Vanilla & Cycle GAN built using tensorflow

• cyclegan/ : weights for cyclegan model used for image translation
• vanilla_gan/ : weights for vanilla gan used
• images/ : images used for research paper section
• pdf/ : pdfs available for downloading on portfolio
• constant.py : File with all static data used.
• cycle.py : cycle_gan models
• vanilla_gan.py: vanilla_gan models
• requirements.txt : requirements file generated using pipreqs
• graph_builder.py : Daily routine graph using graphviz
• timeline.json : Json file used by streamlit_timeline for career snapshot

• Once confirm your app runds fine on localhost. Check using

streamlit run streamlit_app.py 

• Create requirements.txt.
• Push repo to github.
• Sign in https://streamlit.io/ using the same mail as for github account where code is pushed (for ease)
• Fill in the info & click deploy on the