# NeuralForge

- **Event:** [Gemini 3 Singapore Hackathon](https://cerebralvalley.ai/e/gemini-3-singapore-hackathon)
- **When:** Sat, Mar 7 at 9:00 AM – 10:00 PM (GMT+8)
- **Where:** Location TBA
- **Team:** [Jibin Mathew](https://cerebralvalley.ai/u/jibinmathew), [Jishnu Venugopal](https://cerebralvalley.ai/u/jishv)
- **GitHub:** https://github.com/jishnuvenugopal/neuralforge
- **Demo video:** https://drive.google.com/drive/folders/1vgXg2_nQBC1YnCR2MaWuzsYtZE-DqHzk?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/82

NeuralForge is a Gemini-powered workflow that turns machine learning models into silicon.

You describe a neural network in plain English, and NeuralForge converts it into synthesizable Verilog, embedding the trained weights directly into hardware logic.

The system then runs a real RTL-to-GDS pipeline,  synthesising with Yosys, verifying functionality through simulation, and implementing the design on the SkyWater 130nm PDK using open-source backend tools.

AI agents monitor tool outputs, fix design errors, and iterate until the hardware is physically valid.

The model isn’t deployed on hardware.
It becomes the hardware.

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