We’re excited to announce the winners of the inaugural Databricks Free Version Hackathon. This hackathon attracted information and AI practitioners from over 16 international locations, showcasing innovation throughout AI, information engineering, information evaluation, and extra.
Throughout the hackathon, individuals utilized the Free Version to construct a five-minute demo that showcased a spread of use circumstances, together with an end-to-end automobile gross sales analytics platform, a retrieval-augmented (RAG) workflow for product documentation, and an information engineering assistant that enables customers to automate and simplify engineering workflows. The submitted demos had been judged primarily based on the next analysis standards:
- Technical Complexity & Execution
- Creativity & Innovation
- Presentation & Communication
- Influence & Studying Worth
There have been many impactful mission submissions; nevertheless, three initiatives stood out.
Congratulations to the winners of the inaugural Free Version Hackathon for constructing information and AI functions that demonstrated technical excellence, creativity, and way more!
Winners:
Narender Kumar
🏆 First place
Narender constructed VidMind, an automatic workflow for technical demo movies on YouTube. The mission ingests uncooked unstructured video, extracts the content material, organizes it right into a structured information base, and returns insights for a fictional firm named DataTuber. This exhibits how Free Version helps creators and groups flip massive volumes of media into searchable and actionable information.
Zoe Sales space
🏆 Second place
Zoe constructed an area climate evaluation system that helps energy grid operators. Her answer predicts grid failures brought on by photo voltaic flare occasions and offers seven day forecasts, threat thresholds, and advisable actions. The workflow makes use of information engineering and ML options in Free Version to assist enhance resilience for crucial infrastructure.
Hasnat Abdul
🏆 Third place
Hasnat constructed a recipe advice engine utilizing NLP. He ingested uncooked recipe information, ready and structured it, and skilled a mannequin to group recipes by shared themes and taste profiles. Customers then question the system in pure language to get customized solutions. This exhibits how Free Version helps textual content primarily based workflows and sensible advice programs.
Honorable mentions:
Lucas Frolio & Travis Wessman: AI-powered Biomedical Analysis Assistant Agent is an agent that helps researchers ingest, search, and analyze biomedical literature at scale—turning mountains of educational information into actionable insights in seconds.
Angie Shin & HyeJu Jung – Finish-to-end wildfire analytics system centered on unifying fragmented environmental datasets throughout Canada to help extra correct wildfire monitoring and evaluation
Brahma Reddy Katam – Way forward for Film Discovery is an AI-powered film advice app that makes use of the Netflix Films dataset, PySpark, and embedding fashions to recommend films primarily based on a person’s temper and natural-language enter.
Dinesh S – AI-driven information engineering assistant that enables enterprise customers to replace configuration tables, set off ETL pipelines, and run information validations utilizing pure language.
These initiatives display how college students and builders make the most of the Free Version to speed up their studying and develop sensible information and AI functions. The vary of submissions highlights what is feasible when concepts are simple to attempt to workflows are easy to arrange.
Desirous about exploring Free Version? Join right now.
