Archeological Data Collection Web App

Context A group of researchers uncovered a grave site in Egypt. They were recording their findings in an Excel workbook as they went, and uploading the photos to a Google Drive. They were trying to predict the sex of the mummified bodies using educated guesses.

Problem Researchers didn’t have an efficient, maintainable, or highly available way to record artifacts. They had no way to associate related records

Solution Approach In four days, my group of four developed and deployed a web application for recording artifact discoveries. The website was able to record necessary information about artifacts, predict the sex of the mummy based on user input and display relationships between various mummy features.

Impact

• Researchers could visualize data instantly and on demand
• Data input process was standardized, through the web form, reducing the need for future data cleaning
• Mummy’s sex prediction was made instant and consistent through a ML model endpoint

Technologies used

• Fast API
• Exploratory Data Analysis
• Machine learning
• SQL
• React
• Python
• ASP.NET Core
• AWS EC2, Elastic Beanstalk