Beautechful's Makeup Match is a digital in-store consultant redefining how beauty products are discovered and recommended — in the store, directly at the point of sale. We’re launching a pilot project with one of Europe’s leading cosmetics retail chains and we’re looking for talented Informatics students to help bring this innovation to life. You’ll work as part of a small, agile team to prototype and refine a smart system that blends digitalproduct discovery, cloud technology and personalized AI.
Tasks of the IDP:
Track 1: Front-End Development
- Build React.js components based on Figma designs
- Optimize for performance, mobile use and clean UX
- Develop kiosk & tablet-friendly UIs for in-store use
Track 2: Back-End Development
- Migrate data from JSON to MongoDB on Google Cloud
- Develop fast, reliable APIs for real-time recommendations
- Optimize data flow for scalable pilot project rollout
Track 3: AI Engine
- Build ML-based recommendation systems from anonymized customer data
- Apply real-time ML techniques for beauty product suggestions
- Optimize model accuracy using customer feedback
Contact: Send your CV, motivation & your prefered track (Front-End/Back-End/AI) + optional: any relevant experience or GitHub link to talents(at)beautechful.com How
TUM ERI Supervisor: Julia Kirsch
Proposed start date : ASAP