Apr 22, 2024
No image
Completed
AI Gender Analysis & Identification Toolkit
$100,000+
4-6 months
United Kingdom
2-5
Service categories
Service Lines
Big Data
Domain focus
Telecommunications
Programming language
JavaScript
Python
Frameworks
Node.js
React.js
Torch/PyTorch
Subcategories
Big Data
Data Analytics
Data Discovery
Data Mining
Predictive Analytics
Challenge
Women are a powerful source of growth, they are crucial to a country’s development. Inequalities between men and women can reduce nationwide progress in health, education, and standard of living. Today, women still face systemic, and importantly, often unmeasured, barriers to catching up and closing the gender gap.
InData Labs was challenged to develop a Gender Analysis and Identification Toolkit to address the gender data gap and manage mobile phone data analysis with the help of technology.
Women are a powerful source of growth, they are crucial to a country’s development. Inequalities between men and women can reduce nationwide progress in health, education, and standard of living. Today, women still face systemic, and importantly, often unmeasured, barriers to catching up and closing the gender gap.
InData Labs was challenged to develop a Gender Analysis and Identification Toolkit to address the gender data gap and manage mobile phone data analysis with the help of technology.
Solution
The main objective of developing the toolkit was to provide mobile network operators with a tool they could easily install and run on-premises to predict high-quality gender labels for their subscriber base and to get insights from the analytics dashboard.
The main objective of developing the toolkit was to provide mobile network operators with a tool they could easily install and run on-premises to predict high-quality gender labels for their subscriber base and to get insights from the analytics dashboard.
Results
The result of the work is an advanced Gender Analysis and Identification Toolkit. The solution allows mobile network operators to identify the gender of their subscribers based on phone usage history and provides insights into the gender gap.
Using the solution, they can explore the latest data on the mobile gender gap and understand whats needed to be able to close it. This will help mobile phone operators across low- and middle-income countries to get more KYC data to be able to better understand bottlenecks in mobile phone penetration among women and design products targeted to women.
The result of the work is an advanced Gender Analysis and Identification Toolkit. The solution allows mobile network operators to identify the gender of their subscribers based on phone usage history and provides insights into the gender gap.
Using the solution, they can explore the latest data on the mobile gender gap and understand whats needed to be able to close it. This will help mobile phone operators across low- and middle-income countries to get more KYC data to be able to better understand bottlenecks in mobile phone penetration among women and design products targeted to women.