UT Trade Compiler: Projects for the Design Compiler Course at the University of Tehran (Fall 2023)
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Updated
Nov 2, 2024 - Java
UT Trade Compiler: Projects for the Design Compiler Course at the University of Tehran (Fall 2023)
Offline Python classifier that predicts gender associations from names. 49KB model, no API needed.
API wrapper around the Genderize.io service for predicting gender from first names. Built in Python.
Explore how AI embedding models perceive your name across 6 dimensions: wealth, wisdom, happiness, health, leadership, and beauty. Validated on 250K+ real names with ground truth.
A compiler written using ANTLR with Java for the programming language LogicPL.
Historical Name Analysis
Agify.io — independent third-party profile of a public API surface, by API Evangelist. Agify.io is a simple REST API that predicts the age of a person based on their first name. Using a large dataset of name-age associations, it returns an estimated age along with a count of how many data points were used and the name's country-localized variant wh
A compiler written using ANTLR with Java for the programming language LogicPL.
Agify.io — independent third-party profile of a public API surface, by API Evangelist. Agify.io is a free REST API that predicts the age of a person based on their first name using statistical data from over one billion records spanning 195+ countries. The service is provided by Demografix ApS and shares a single API key with the companion Genderiz
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