Thematic Tracks and Participants
Two Tracks to Address Public Service Challenges
Participants will work on one of the following two tracks:
Track 1: High-Value Algorithms
💻 Objective: Develop advanced algorithms to tackle critical technical challenges.
🗣️ Speech-to-Text
Improve the accuracy and speed of transcription tools.
🌍 Geospatial Analysis
Use AI for applications like environmental risk mapping or urban planning.
📄 Optical Character Recognition (OCR)
Automate data extraction to streamline document workflows.
🌐 Machine Translation
Design multilingual tools using open source frameworks.
Target Audience
💻 Specialized Developers: Experts in machine learning or natural language processing (NLP).
🧠 Researchers: Specializing in fundamental algorithms and large-scale datasets.
Track 2: High-Impact Use Cases
🛠 Objective: Create practical tools tailored to the needs of public administrations using proven technologies.
🤖 Administrative Automation
Simplify repetitive processes such as report drafting or document generation.
📊 Document Analysis
Build systems for information extraction and interactive responses.
🛠️ Custom Prototypes
Develop tools adapted to specific needs identified by participating teams.
Target Audience
🏢 Public Sector Digital Professionals: Familiar with internal processes and able to identify practical use cases.
👨💻 Full-Stack Developers: Skilled in rapid prototyping and API integration.
🎨 Designers: Creating intuitive interfaces for end users.
🌍 Civil Society Representatives: Providing insights into specific societal needs.
Registration Details
Build a Team
Teams of 3 to 6 members will work over two days to develop a functional prototype.
Resources Available
- Access to the Albert API for advanced AI functionalities (text generation, transcription, etc.).
- Use of H100 GPUs via the SSP Cloud INSEE for computationally intensive tasks.
- Support from specialized mentors.