ReleasedWeb

GridOptima

Turns an operator's plain-English notes into the cheapest valid 24-hour campus energy plan

My entry for the BUP CSE Fest 2026 hackathon's Smart Campus Energy Optimization Challenge. A campus runs on solar panels, a battery and the grid, and operators leave notes like "keep at least 40% in the battery overnight". GridOptima reads those notes with a language model, checks every rule it extracts with deterministic guardrails, then solves for the minimum-cost hour-by-hour schedule and replays it to prove it's valid before answering.

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gridoptima.app

GridOptima

Turns an operator's plain-English notes into the cheapest valid 24-hour campus energy plan

Status: Released
Platform: Web
Stack: 9 technologies
Source: Open source

Why I built it

Language models are good at understanding what an operator means, but you can't trust them with the math. So the model does only that one job. Everything after it is plain, deterministic code, so the same input always gives the same, checkable answer.

My role

Sole developer: API, LLM pipeline, optimizer, verifier and operations console.

How it fits together

5 layers

01LLM interpretation (Gemini, OpenAI, Groq, Claude or Ollama)
02Deterministic guardrails with a repair pass
03Linear-program optimizer with a hand-written simplex solver
04Hour-by-hour replay verifier
05Operations console

Key features

Reads free-text operator notes and turns them into exact directives
Guardrails reject bad model output and re-ask only for those notes
Finds the provably cheapest valid 24-hour schedule
Simplex solver written from scratch, no optimisation library
Replay verifier checks the plan the same way the judges do
Browser console with hand-drawn SVG charts and an accessible table view
Clean JSON errors that never leak keys, prompts or stack traces
Ships as a Docker image on FrankenPHP

Built with

Laravel 13
PHP 8.3
Gemini API
Linear programming
Tailwind CSS 4
Vite
Docker
FrankenPHP
PHPUnit

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