We empower Filipinos to explore generative AI by addressing both technical and non-technical challenges. Our mission is to promote innovation rooted in ethics and real-world impact.
Build cutting-edge AI agent solutions in this innovation sprint! Whether creating single agents or complex multi-agent systems, this is your playground for agentic AI development.
| Session | Date | Topics |
|---|---|---|
| 1: Intro to AI Agents | Apr 19, 2025 | Fundamentals, environment setup, first single-agent |
| 2: An introduction to Gemini x Streamlit x chromadb | Apr 25, 2025 | Techniques, behavior customization, evaluation |
| 3: Multi-agent Systems | May 00, 2025 | Architectures, agent communication, collaboration |
| 4: Deploying Agents | May 00, 2025 | Deployment strategies, integration, scaling |
agentic-hackathon-2025/
├── Session_1/ # Introductory materials
│ ├── slides.pdf # Presentation deck
│ ├── demo_notebook.ipynb # Jupyter notebook
│ └── requirements.txt # Python dependencies
├── Session_2/ # Fine-tuning resources
│ ├── finetuning_guide.md
│ └── lora_configs/
├── Session_3/ # Multi-agent systems
│ ├── swarm_example/
│ └── communication_protocols.md
└── Session_4/ # Deployment
├── docker-compose.yml
└── monitoring_dashboard/
- Clone repo:
git clone https://github.com/GenAIPHBuilders-org/agentic-hackathon-2025.git
- Install requirements:
pip install -r Session_1/requirements.txt
- Launch Jupyter:
jupyter notebook Session_1/demo_notebook.ipynb
- Teams of 2–4 members only
- All code must be original and created during the hackathon
- Open-source libraries and APIs are allowed
- Projects must align with one of the challenge tracks
- Submission must include:
- Source code (on GitHub)
- Documentation
- Demo video or walkthrough
- Only fresh and original ideas are allowed.
- Projects that have already received funding or
- Previously won other hackathons or competitions
will not be eligible for this hackathon.
- ✉️ Email: admin@genaiphbuilders.org
- 🔗 LinkedIn: Gen AI Philippines
- 💻 GitHub: GenAIPHBuilders
Let’s build the future, one agent at a time. 💡
