Government Notification Watcher with Plain-Language Summaries and Topic Alerts
Tax notifications, regulatory circulars and gazette notices change rules for small businesses and citizens overnight, but they are published as scanned PDFs on scattered government websites. Build a monitored pipeline that checks chosen official pages on a schedule, detects new documents, extracts text (with OCR when needed), writes a short plain-language summary with the source linked, and alerts subscribers by topic. Treat it as a reliability and cost engineering project.
Intermediate
A small team, or one strong student willing to learn something new.1 semester · 2 students
7 to ship
4 optional extrasSuggested stack
What you should ship
- Watchers for 5 to 10 official pages (for example tax notifications, central bank circulars, a provincial gazette) that respect robots rules and rate limits
- Change detection and document storage with content hashes to avoid duplicates
- Text extraction with OCR fallback for scanned PDFs, including Urdu or Hindi where needed
- Summaries that always show the original link and a "check the source" note, with checks that numbers and dates in the summary appear in the source
- Topic tagging and email or messaging alerts to subscribers
- Infrastructure as code, scheduled runs, monitoring and alerts when a watcher breaks
- A cost report per month at your volumes
If you have time left
- A public archive with full-text search
- Summaries in Urdu, Hindi or Bangla
- Diffs between a notification and the earlier one it amends
- An RSS feed for each source
The problem: rules change in PDFs nobody reads
Tax authorities, central banks, regulators and provincial governments publish notifications and circulars that change rules for businesses and citizens: new tax rates, filing deadlines, import duties, licensing rules. In Pakistan, India and many other countries, these appear as PDFs, often scanned, on websites without alerts or feeds. Small businesses learn about changes late, from accountants or WhatsApp forwards that may be wrong.
What already exists and the gap
- Official websites such as the tax authority's notifications page, the central bank's circulars page and India's e-Gazette publish the documents.
- Commercial legal and tax databases track changes for subscribers, priced for firms.
- Generic web change monitors can watch a page but do not extract, summarise or tag documents.
The gap is a reliable, low-cost watcher focused on a few important sources, with summaries that always point back to the original and a system that tells you when it breaks.
Inspiration
Public interest archives and civic tech groups have long run scrapers to make government data searchable. The engineering lesson from them is that scrapers break silently. Your project treats monitoring of the watchers as seriously as the summaries.
What you build
- Small business owners and accountants subscribe to topics and get a short email when a relevant notification appears.
- Journalists and researchers search an archive of notices with dates and links.
- Operators see a dashboard of watcher health, run times and costs.
The technically interesting part
- Fragile sources. Pages change layout, go down or move documents. Detect failures, alert on them and make each watcher easy to fix.
- Duplicates and versions. The same PDF may be uploaded twice or replaced. Use hashes and metadata.
- OCR quality. Scanned PDFs in English and Urdu or Hindi need different settings. Measure character error on samples.
- Safe summaries. Summaries must not invent numbers. Check that every number and date in a summary appears in the source text, and if not, show only the title and link.
- Cost. Keep compute, storage and model costs visible and small.
How to evaluate it
- Detection: share of new documents caught within one scheduled run, over several weeks.
- OCR accuracy on a sample of scanned pages.
- Summary faithfulness: share of summaries passing the number and date check, plus a manual review of 50.
- Uptime and time to detect a broken watcher.
- Monthly cost at your volume.
Suggested plan
- Weeks 1 to 3: choose sources, check terms and robots rules, design storage.
- Weeks 4 to 6: watchers, change detection and extraction.
- Weeks 7 to 9: summaries, checks and tagging.
- Weeks 10 to 12: alerts, infrastructure as code and monitoring.
- Weeks 13 to 15: evaluation over several weeks, report and demo.
Path to a product
Accounting firms, trade associations and compliance teams would pay for reliable alerts on rule changes in their sector. A focused service with trustworthy summaries is a realistic small business. The project shows cloud, automation and monitoring skills employers look for.
Scope warning
Only watch public pages, follow robots rules and terms, and keep request rates low. Never present a summary as the official text. Keep to a small number of sources and do them well.
Learn what you need on Sefism
- DevOps and cloud roadmap: scheduled jobs, infrastructure as code and monitoring.
- Automation roadmap: building reliable pipelines.
- FinOps roadmap: tracking and reducing running costs.
- LLM APIs cheat sheet: calling models for summaries.
- GitHub Actions documentation: scheduled runs and deployment.
Get help with this idea
The fragile part is keeping watchers alive, not the AI summary. Tauseef can help you design monitoring and choose sources that keep the scope realistic. If you are new here, create a free account first.
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