During this minor students will work on a realworld business challenge where AI can provide added value.
Do you have a business challenge where Artificial Intelligence could make a difference?
Perhaps you have data that could help predict future outcomes, images that need to be analysed, documents containing valuable information, or processes that could benefit from intelligent automation.
Students from the Data & AI minor at Inholland University of Applied Sciences in Haarlem are looking for real-world challenges from companies and organisations.
What can students do for your organisation?
A team of 4 third-year Informatics students will work on your challenge over 20 weeks, from February to June 2027.
Depending on your challenge, students can:
Investigate your business problem and explore suitable AI and machine learning approaches.
Analyse and prepare relevant data.
Develop, train and evaluate AI models.
Compare different approaches and explain their choices.
Integrate their solution into a working proof-of-concept application.
Present their findings, results and recommendations.
The goal is to explore what AI can realistically achieve for your organisation and demonstrate the potential through a working prototype.
What kinds of challenges are suitable?
We welcome challenges involving, for example:
Prediction and forecasting: Predict demand, equipment failures, resource needs or other outcomes using historical data.
Computer vision: Detect, classify, count or measure objects in images or videos.
Text and document analysis: Automatically classify documents, extract information or analyse customer feedback.
Anomaly detection: Identify unusual patterns in transactions, sensor measurements or operational data.
Intelligent decision support: Develop models that help employees make better-informed decisions.
These are just examples. You do not need to know which AI technique would be appropriate. Students will investigate possible solutions as part of the project.
What makes a good challenge?
The most suitable challenges involve a clear practical problem, relevant data and an opportunity to develop and evaluate an AI or machine learning model.
You do not need to provide a ready-made solution or a fully prepared dataset. However, access to suitable data, or a realistic possibility of obtaining it, is important.
Projects focused exclusively on building a website, dashboard or simple chatbot without developing and evaluating an AI model are generally less suitable for this minor.
What do we ask from your organisation?
A real-world challenge relevant to your organisation.
Access to relevant data, where available, taking privacy and confidentiality into account.
A contact person who can provide feedback and help students understand the business context.
Approximately 0.5–1 hour per week for guidance and communication.
Practical information
Period: February–June 2027 (20 weeks)
Students: Third-year Informatics / Information Technology
Team size: 4–5 students
Student commitment: Approximately 14 hours per student per week
Location: Inholland University of Applied Sciences, Haarlem
Language: English, Dutch team also possible
Supervision: Regular contact with the company and bi-weekly guidance from lecturers
Cost: Free of charge
Interested?
Tell us about a challenge you are facing, even if you are not yet sure whether AI is the right solution.
We would be happy to explore together whether your idea is suitable for a student project.
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