Entries
Browse submitted projects, teams, and winners.
9 Entries
| Entry | Description | Team | Status |
|---|---|---|---|
| Team consisting of SNCF Data Scientist/NLP Engineer and Data Engineer, plus an Analytics Engineer, expert in Python, LLMs, dbt, Airflow, and Streamlit apps. | 1st Place | ||
| Design and validate complex software architectures with spec-driven nodes in a visual graph database - catch architectural flaws before writing code. | 2nd Place | ||
| Team of AI/ML Engineers (Avicenna.AI, TU Wien) and Full Stack Developer focused on production CV, LLMs, RLHF, and Graph ML solutions. | 3rd Place | ||
| Team led by a Bordeaux AI Master's student and AI Intern who built DocGen_LLM, specializing in LLMs, RAG, Data Science, and Python. | Submitted | ||
| Team consisting of a Data Scientist (Flavorcloud) building production GenAI systems using GraphRAG, LLMs, NLP, Python, and AWS/GCP. | Submitted | ||
| Team consisting of a Data/Software Engineer (INSA Lyon) and an AI/ML Engineer skilled in production ETL, MLOps, and LLM fine-tuning (Gemma, Vertex AI). | Submitted | ||
| Team consisting of Holberton AI/SWE students (B.S.) skilled in Python, C, and systems programming, including a deployed medical ML project. | Submitted | ||
| Use the LinkedIn Portability API to see your activity. Create a GraphDB/RAG to search the posts you liked, shared etc as your personal knowledge base. | Submitted | ||
| Synapse Chain: AI transforms static supply lists into dynamic graphs, predicting critical supplier risks. | Submitted |
