Research Internship at CKL â Knowledge model of C>T platform for digital avatar and recommendation system
Research Internship at CKL â Knowledge model of C>T platform for digital avatar and recommendation system
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Job Description
Position: Research Internship at CKL
Project: Knowledge model of C>T platform for digital avatar and recommendation system
Scientific supervisor: Prof. Dr. Alexander Tormasov
Introduction to CKL:
The Constructor Knowledge Labs (CKL) intends to set the worldwide standard for research into Computer Science AI and Machine Learning Robotics and Neuroscience operating in strong contact with industry and:
- Leveraging CS technologies to address challenges in various fields delivering innovative solutions tailored to industry needs.
- Providing research opportunities mentorship and involvement in collaborative projects to young researchers and PhDs.
- Encouraging interdisciplinary research by fostering collaboration between diverse fields emphasizing the integration of theoretical research with practical application
Project: Knowledge model of C>T platform for digital avatar and recommendation system
A team at CKI is designing a system that generates personalized recommendations to help users achieve goals that they input using natural language. Powered by the C>T platform the system provides actionable suggestions along with a curated list of resources to support users in reaching their objectives. It also showcases potential outcomes through a customizable avatar. The initial application focuses on an AI-driven health supplement recommendation app. Users can input their health goals receive tailored supplement suggestions and visualize the results through an avatar designed to reflect their desired outcomes.
Challenges / key research questions:
- Collect all possible interaction data from the user including passive (logs) and active (by asking questions)
- System should be able to answer some of the questions based on available user description materials interaction logs/etc.
Requirements:
- Python skills
- Experience with AI libraries
- Prompt engineering
- Data processing skills are plus
Required Experience:
Intern
Employment Type
Intern
