Program

Preservation and Access: Research and Development

Period of Performance

8/1/2023 - 7/31/2024

Funding Totals

$74,980.38 (approved)
$74,980.00 (awarded)


Ancient Script Digitization and Archival (ASDA) of Indus Valley Artifacts using Deep Learning: A Tier I NEH Research and Development Proposal

FAIN: PR-290075-23

Florida Tech (Melbourne, FL 32901-6975)
Debasis Mitra (Project Director: May 2022 to present)

A Tier I project to support the development of a machine learning algorithm for identifying the Indus Civilization ancient script.

The proposed project in digital humanities will develop a machine learning (ML) system to automatically elicit texts and symbols from the pictures of artifacts from Indus Civilization. The ASDA system will be capable of automatically inserting these information into a database. The database will be available online and will facilitate automated statistical analyses of data by archaeologists, thus, providing scalability to research that is mostly performed manually now. The Tier-I project will be a proof-of-concept, resulting in a prototype system available online for researchers in archaeology and ML.