Projects / Top Talent Project

Building a Product Knowledge Graph for E-commerce Powered by Machine Learning

Project Started!


Omdena Featured image

This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.

You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.

The problem

Consumers today are more concerned about the environmental and social impacts of the products they purchase. They want to make informed choices and support brands that align with their values. By providing credible and transparent information about the sustainability of their products, brands can meet this demand and build trust with consumers. Governments and regulatory bodies are implementing stricter regulations and reporting requirements related to sustainability and product impact. Brands and retailers need to comply with these regulations and demonstrate their adherence to sustainability standards. The project can help in gathering and analyzing the necessary data to meet these requirements.

Sustainability has become a key differentiator in the marketplace. Brands that can effectively communicate their sustainability efforts and demonstrate the positive impact of their products have a competitive advantage. The project allows brands and retailers to gather and utilize data from various dimensions to develop compelling proof points that set them apart from competitors.

The problem that this project is trying to solve is the need for brands and retailers to effectively communicate the impact and sustainability of their products and brand as a whole. In today’s market, consumers are increasingly conscious of environmental and social issues and seek products that align with their values. As a result, brands and retailers are under growing pressure to demonstrate their commitment to sustainability and provide transparent information about the impact of their products throughout their lifecycle.

This project aims to address this problem by leveraging data from various sources to identify and communicate proof points related to the impact and sustainability of products and brands. These proof points can include environmental factors such as carbon emissions, water usage, and waste generation, as well as social aspects like fair labor practices and community engagement.

In summary, this project addresses the need for brands and retailers to communicate proof points related to the impact and sustainability of their products and brand. By leveraging data from various sources, the project enables them to meet consumer demand, comply with regulations, gain a competitive advantage, and drive positive environmental and social impact.

The project goals

The main project goal is to build automation to extract information and add to the knowledge graph from different data sources.

Project Scope:

  • Build initial knowledge graph and supporting data structures (e.g. landing and staging data layers).
    • Ingestion of data sources into the initial version of the knowledge graph.
  • Update the knowledge graph and supporting data structures automatically with new data using a robust, automated pipeline.
    • Data Collection using Crawlers and Scrapers.
    • Data Pre-processing format and structure of the existing knowledge graph.
    • Entity Extraction: Entity Recognition and Entity Disambiguation.
    • Analysis of product images.
    • Entity Linking: Link new entities and relationships to existing nodes in the knowledge graph.
    • Updating the Graph: Incorporate the new entities and relationships into the knowledge graph (ML).
    • Ensure the Graph maintains consistency and coherence.

**More details will be shared with the designated team.

Why join? The uniqueness of Omdena Top Talent Projects

Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.

Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.

If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.

Find more information on how an Omdena Top Talent Program works

First Omdena Project?

Join the Omdena community to make a real-world impact and develop your career

Build a global network and get mentoring support

Earn money through paid gigs and access many more opportunities



Eligibility to join an Omdena Top Talent project

Finished at least one AI Innovation Challenge

Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus



Skill requirements

Good English

Machine Learning Engineer

Experience working with Smartphone Sensor Data is a plus.



This challenge is hosted with our friends at


Application Form
media card
Building AI-powered Early Warning System for Extreme Weather Conditions in Tanzania
media card
Map Solar Penetration and Productive Uses of Renewable Energy in Kenya
media card
AI-Driven Temperature Analysis for Educational Environments in Tanzania

Become an Omdena Collaborator

media card
Visit the Omdena Collaborator Dashboard Learn More