Resources & Tools
Everything you need to move fast and build something real. APIs, credits, frameworks, and documentation — curated for hackathon speed. Click any sponsor card below for full details.
Quick Start Tips
- Start with one user and one clear problem. Scope kills more hackathon projects than bad code does.
- Design for flow, not flash — think like a helpful assistant, not a feature factory.
- Use the perception + planning + action loop when building agents. Sense the world, decide what to do, then do it.
- Don't over-engineer. Mock what you must, make your demo count. Judges remember the story, not the architecture.
Sponsor Tools & Credits
Braynr EdTech
Sponsor
Frameworks & Tools
AI & LLM Frameworks
Google's multimodal model. Text, images, code, and reasoning — all via one API.
Agent graphs with memory, branching, and human-in-the-loop control.
Modular LLM chaining. Connect models, tools, and data sources with minimal glue.
Computer Vision & Spatial AI
Luxonis SDK for OAK cameras. Depth estimation, neural inference, and object tracking on-device.
The standard library for computer vision. Image processing, feature detection, and real-time video.
Google's on-device ML toolkit. Pose, hand, face detection, and object tracking out of the box.
On-Device & Edge AI
Run LLMs locally. One-command setup for Llama, Gemma, Mistral, and more.
Cross-platform inference engine. Run ML models on CPU, GPU, or NPU with hardware acceleration.
Prototyping & UI
Learning & Tutorials
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Gemini API Quickstart
Official Google guide. Set up your API key, send your first request, and explore multimodal capabilities.
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DepthAI Examples
Luxonis code examples for OAK cameras — depth estimation, object detection, and neural inference pipelines.
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ElevenLabs Developer Quickstart
Get started with ElevenLabs voice AI — text-to-speech, voice cloning, and conversational agents in Python or TypeScript.
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Understanding and Applying Text Embeddings
DeepLearning.AI short course with Google Cloud. Practical use of text embeddings for search, clustering, and classification.
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Getting Started with Ollama
Run large language models locally. Install, pull a model, and start generating — no cloud account needed.