We built a real-time tracking engine that gives riders a live map view of their driver from the moment of confirmation to drop-off. The system shows estimated arrival with dynamic recalculation as traffic changes not a static number pulled at booking time. Alongside this, we built a fare estimate module that shows the full price breakdown upfront: base fare, distance rate, time charge, and any surge factor. No surprises at the end of the trip. Riders knew exactly what they were getting into before they tapped "Book."
One of the things we're most proud of on this project is the booking intelligence layer. The app learns from rider behaviour frequent routes, preferred pickup spots, usual ride times and surfaces shortcuts automatically. Repeat a route more than twice? The app offers it as a one-tap option. Ride every Monday morning at 8 AM? You'll see a proactive prompt before you even open the booking screen. We also built preference profiles that carry across sessions: saved locations, preferred driver gender for safety, accessibility settings, and communication preferences. None of this required the user to set anything up manually the system inferred it and asked for confirmation when appropriate.
Safety was non-negotiable for Doride, and we treated it that way in the build. We shipped a live trip-sharing feature that lets riders send a real-time tracking link to any contact — no app install required on the receiver's end. We built a discreet SOS trigger accessible from the active ride screen, which alerts emergency contacts and flags the trip for Doride's support team simultaneously. Driver verification on every ride includes license plate confirmation and a photo match, shown to the rider before they get in. These aren't marketing features — they're things that make the app genuinely safer to use.
A ride-sharing platform is only as good as its driver experience. We built a parallel driver app with its own routing engine, earnings dashboard, and acceptance workflow. On the backend, our dispatch algorithm considers driver proximity, current load, route efficiency, and historical acceptance rates to assign rides in a way that's fair to drivers and fast for riders. Drivers get turn-by-turn navigation built directly into the app no need to context-switch to a third-party map. Their earnings are broken down per trip with automatic pay out scheduling, which turned out to be one of the most requested features during driver beta testing.
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