Case study 03
An independent Android and web platform turning anonymous, coach-specific passenger feedback into historical cleanliness insights for Indian trains.
Passengers can report an immediate cleanliness problem through official services, but there is no simple way to understand how a train or coach has performed over time. Useful experiences remain scattered across individual complaints and social posts.
RailHygiene uses a submitted PNR to identify the correct journey and coach, then lets passengers rate toilets, floors, dustbins and the overall coach separately. Feedback remains anonymous in the public experience.
A native Android app, public dashboard and search-friendly train pages that turn individual reports into structured train- and coach-level cleanliness summaries.
A passenger retrieves their journey, selects the correct coach and reports only the conditions they observed. The feedback is stored in Firebase Firestore and aggregated into train- and coach-level statistics without publicly displaying the passenger’s PNR or identity.
RailHygiene is an independent project and is not affiliated with Indian Railways or IRCTC.
A scheduled process reviews relevant public complaints posted on X. A constrained Groq-hosted language model extracts only explicitly mentioned hygiene issues, then deterministic validation rules check the output before upload. A component-level record ensures unmentioned areas never influence the averages.
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