Smart City Guide App (Master Thesis/ Internhips)
In this role
Challenges: In this project, there are a few processes that should work sequentially and in parallel. A well-defined system’s architecture will be crucial. Correctly identifying the restaurant is the first critical step towards this search (using deep learning + localization). From there, different queries to different -web- sources of information need to be launched to extract relevant information (text search) which not always indicated how and where expected. Finally, rendering the correct information in a timely manner is key.
Project applications: Tourism / Large sports events / Retail industry / Augmented reality
What you will learn: You will be a junior data scientist, developing your skills in machine learning (deep learning, object detection and recognition), in visual search architectures and in mobile app development.
Possible extensions (depends on advancement of the aforementioned work): Build an augmented map of a neighborhood / Other cities / Other service sectors / Add preferred information providers (Tripadvisor, Fourchette verte, …) / ChatBot / “Take me to the best restaurant in a x km radius” / Information summarization.
Keywords: Visual search, deep learning, web queries, OCR, single shot multibox detector (SSD), content-based image retrieval, text search, localization.
In this project, the goal is to:
- Build an app that acts as a virtual, smart tour guide and provides only the information you’re interested in while visiting a city.
Ce que nous proposons
Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About your profile
- Required: machine learning and deep learning, computer vision, mobile app development
- Software engineering: Java, deep learning libraries, mobile API (iOS, Android), python,
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