• Mritunjay Kumar
• Shivraj Jadhav
• Rohit Diwate
• Saurabh Borse

A web application to analyze Olympic data using Python will be developed as part of this project. The application will allow users to select and display different data points from the Olympic Games, such as countries, sports, events or medal counts, in a variety of ways, e.g. with graphs, tables and maps. The data is collected from publicly available Olympic database and the application uses a number of Python libraries, such as Pandas, Matplotlib or Seaborne, for analysis and visualization. The project gives users a user friendly interface that enables them to interact with the figures, as well as gain insights into Olympic trends and statistics. In general, this project has shown Python's potential to produce data analysis applications which can be used for a number of purposes, such as sports analysis, business intelligence and science research. We're trying to build an Olympic Data Analysis Web Application Python based on the TMDB 120 Year History of Olympics dataset in this project.

The Metal Tally, The overall analysis, Athlete Wise Analysis, Country Wise Analysis.

"A Streamlit Web Application for the Analysis of Olympic Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e91-e97, November-2023, Available :http://www.jetir.org/papers/JETIR2311414.pdf

"A Streamlit Web Application for the Analysis of Olympic Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe91-e97, November-2023, Available at : http://www.jetir.org/papers/JETIR2311414.pdf