This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle
What I Built
AccessSprint turns a small, clearly scoped website scan into a human-reviewed accessibility action plan. It is for freelance developers who want to offer independent businesses a practical review: prioritized findings, notes, hands-on checks, and a report they can use to plan fixes.
The service is intentionally small: review up to 10 public pages, walk through the evidence with the client, and offer a follow-up scan after fixes. AccessSprint keeps automated scanner results separate from human observations. A model can explain a finding, but it cannot confirm, dismiss, or fix it for you.
Demo
A video walkthrough is coming soon. The app currently runs locally on Windows; the README has setup steps and troubleshooting:
- AccessSprint setup guide
- Start the app with the included Windows launcher, then open its local 127.0.0.1 address.
Code
Source code and README on GitHub
How I Built It
AccessSprint combines a small Python and SQLite backend with a JavaScript interface. A local Playwright/Chromium worker runs axe-core against only the public URLs the auditor explicitly adds. The app saves per-page results, review notes, manual checks, scan comparisons, printable reports, and versioned JSON backups.
For explanations, it calls Ollama on loopback with my local Gemma 4 gemma4:e4b model. The prompt contains a selected rule and bounded, sanitized evidence—not the client name, project notes, or page HTML. The explanation returns a plain-language impact, repair suggestion, and verification step. The human auditor remains responsible for reviewing the result.
Why Does Open Innovation Matter?
A freelance service needs predictable costs. Running Gemma locally means there is no hosted model charge every time I explain a finding, which makes small, fixed-price reviews easier to offer. Local inference also keeps client context on the auditor’s device and makes the tool usable without sending audit evidence to a third-party AI API.
Open tools make the workflow inspectable and replaceable: axe-core provides the automated checks, and Ollama lets the auditor choose a local model. The trade-off is that users need a compatible computer and must install the model themselves.
First-user status
The prototype is built, but I have not yet validated it with a paying client. My next step is to put it in front of an independent developer or small business owner and learn whether the report is clear enough to support a real paid review.
Prize Category
- Best Use of Gemma
Important limitation
AccessSprint is an audit aid, not a WCAG certification or legal opinion. Automated checks cover only part of accessibility; every finding and key user flow still needs human review.
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