Building an AI STEM Solver That Shows Its Work — and Double-Checks It
Ask any AI chatbot a calculus question and you'll get an answer. Maybe even the right one. But a student doesn't need an answer — they need to understand how to get there, and they need to know the answer is actually correct. Those are two different engineering problems, and I built Forge (repo: Asdfyash1/GPAI ) to solve both: a full-stack STEM copilot that turns any problem — typed,…
The AI-powered STEM solver Forge offers students more than just an answer to calculus problems. It provides a step-by-step derivation, allowing learners to understand the process and verify the correctness of the result through a second model's independent solution. The stack behind Forge includes Next.js 16, TypeScript, NVIDIA NIM models via Vercel AI SDK, all deployed on Vercel's Hobby tier.
The solver operates in four key steps: streaming the solution step-by-step for easy comprehension, cross-checking the result with a second model, rendering mathematical equations using KaTeX, and accepting photo inputs through OCR technology. Forge also features a zero-API-key mode, allowing users to experience the entire UI without any model calls.
Security measures are in place, including authentication, rate limiting, and verification checks. However, Forge's OTP store is currently in-memory, which may not be ideal for production.
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