@ezefernandezyf92840

UvicornForge AI is an AI-powered co-founder designed for hackathon teams. Enter a project idea along with real parameters such as team size, total funding, available time, target users, industry, and technologies (including AMD GPUs and Fireworks AI). The system generates a comprehensive, structured startup brief covering problem, solution, MVP scope, key features, demo scenario, business model, risks, go-to-market strategy, and more. It also produces ready-to-use artifacts including a pitch deck outline, full demo script, MVP checklist, and starter README. A key innovation is the Success Score (1-10) predicted by a custom MLP model. Unlike generic scores, ours is trained on a high-signal target engineered to respond to actual project parameters: larger teams, realistic funding, longer development time, and explicit AMD usage all meaningfully increase the predicted success. The frontend allows direct input of these values, and the feature mapper feeds them straight into the model along with an ambition factor extracted from the idea description. The backend combines Fireworks AI for high-quality text generation with a locally running PyTorch MLP (65 features) trained on an AMD-tailored dataset of 10,000 examples. We achieve strong validation performance (R² ≈ 0.85) while ensuring the score differentiates between weak and strong proposals. The modern frontend features live model metrics, smooth animations, and one-click downloads of all generated materials. Built specifically for the Unicorn Track, the project demonstrates practical use of AMD GPUs for ML inference and Fireworks AI for LLM generation in a real, useful product that helps teams create better submissions faster.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.