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Practical use of AI Large Language Models and AI hackathon example
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In this episode, Bas Alderding and Koen Ter Velde, founders of AI development agency SevenLab, share insights into a recent AI project they built for a government organization in the Netherlands during a hackathon. The project aimed to streamline the regulatory compliance inspection process using AI, low-code, and no-code tools. They explain how they developed a prototype to automate data collection, transcription, and report generation, making inspections faster and more efficient.
Takeaways:
- AI and transcription technologies can significantly reduce the time needed for regulatory compliance inspections.
- Multi-step AI processes can convert unstructured spoken data into structured, actionable reports.
- Combining low-code tools like Flutterflow and N8n with AI allows for rapid prototyping.
- Leveraging AI-assisted coding tools, such as Cursor, speeds up the development process.
- Using open source tools like Whisper for audio transcription allows for flexible and scalable integration.
- AI-generated reports require manual validation to ensure compliance and accuracy.
- Real-world applications of AI can make data-heavy processes more seamless and effective.
Chapters:
00:00 Introduction and Overview of the Hackathon Project
01:25 AI Training and Brainstorming for Government Inspection Use Case
03:00 Hackathon Setup and Challenges
04:30 The Inspection Process and Automating Compliance
06:00 Description of Solution: Recording, Transcription, and Summary
09:00 Switching from Flutterflow to Full Code for Flexibility
13:00 Demonstration of AI-assisted Coding Tool (Cursor)
17:45 Detailed Walkthrough of the Inspection App
22:00 Backend Flow with N8n for Data Processing
30:00 Creating Custom Letters and Reports Using AI
34:20 The Benefits of Low-Code Tools in AI Projects
37:00 Conclusion and Call to Action
Want to get in touch? Schedule a 15min intro through cal.sevenlab.nl/team/sevenlab/sevenlab-introduction
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