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Case Study

Entelect
GP Solver

Python hackathon solver for generating validated race strategies across multi-level Grand Prix constraints.

Public RepositoryAutomated Checks
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Case-study evidence
My role
Hackathon Developer
Build window
2026
Proof signal
Public Repository / Automated Checks
Primary stack
Python

The Challenge

Entelect GP Solver is a Python hackathon project that reads level data, generates a race strategy and validates the output against the challenge rules. The work focused on deterministic problem solving, simulation, scoring and packaging submission-ready artefacts.

Key Outcomes

01

Built a deterministic strategy generator for braking, speed, tyre and pit-stop decisions

02

Implemented validation and scoring helpers for checking generated submissions against the race rules

03

Added a pre-submit flow that regenerates outputs, checks determinism and packages submission artefacts

04

Verified the local quality pipeline with 6/6 unittest checks on 30 May 2026

Technical Stack

PythonAlgorithm DesignSimulationUnit TestingCLI Tooling

Visual Evidence

Entelect GP Solver visual evidence 1
Abstract project visual for the Entelect GP Solver, representing a racing line and quality-gate signal rather than live production software.
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