Projects

To achieve a full understanding of the use and application of ML algorithms, participants have the opportunity to work on a real-life industry project, translating theoretical knowledge into practical processes and overcoming realistic challenges.
Basics

Projects basics

Choose a real-life data project offered by our industry partners and work on it during your studies. You’ll get guidance in weekly meetings with your industry mentor and regular sessions with the company representative.
*Projects are only available to Full Bundle students
Feb – Jul
Duration
~ 300 work hours
Scope
2-3 students
Team
Experienced mentors from the industry
Guidance
Real data
& real challenges
Format
Our projects
Industry projects
Full project catalog
For bundle students only
Global Text Edits & Feedback
in Wordtune AI Writing Assistant
Population based
book model
Automated Slide Retrieval, Adaptation
and Presentation Generation
Anomalous SAR Image
Detection
PHI Detection in Medical
Imaging (DICOM)
AI-Powered Knowledge
Enhancement for Hospitals
Developing Fairness and Reliability Metrics in LLM Embedding Space
Cellular insights into Tertiary Lymphoid Structures via single-cell and spatial omics
Time to Cancel
Prediction
Text-to-SQL Conversion for WAF Data Analysis
Entity & Sentiment Extraction
for Support Conversations
Medical procedure
extraction from documents
Enhancing ETA and energy consumption prediction through driving pattern analysis
A comparative analysis for xai methods package
Automatic product comprehension with llms
Document validation and extraction
Text clustering for care management quality performance
Grinvision foundation model
Genomic profile representation for prediction of drug response
Generative creation of newsletter campaigns
Client application classification using exposed information
Behavioral cross-session user identification
SQL injection detection in real time
Healthscope: medical classification and contextual analysis
Content recommendation engine for emails
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