WiFi Coverage Mapper and Speed Test App

Everyone has a dead zone at home — the corner where video calls freeze — but nobody measures it; they just move the router by guesswork. Phone WiFi APIs expose exactly the data needed to do better: scan results with SSID, band, channel and RSSI, plus the ability to run throughput tests. Yet free speed-test apps give a single number with no spatial context, and scanner apps give numbers with no map. WiFiMapper combines all three: the scanner ranks every nearby access point and flags congested channels, coverage mode turns a walk through the house into a painted heatmap, and the speed test records the four standard metrics per room. The output is actionable — where signal is weak, which channel to switch to, whether the extender actually helped — instead of a vague "internet is slow here".

1. The scanner screen lists access points sorted by RSSI, each with band, channel, security and a live dBm reading; overlapping channels are counted to flag congestion.
2. In coverage mode the user taps "log signal" at each spot; the (position, RSSI, room) sample is stored and the heatmap gradient re-renders.
3. Room averages are computed from the samples; rooms below −70 dBm average are labeled dead zones with a placement suggestion.
4. The speed test animates the gauge along a simulated multi-thread download curve, then reports download, upload, ping and jitter with the test server named.
5. Each test is appended to history as a timestamped card (metrics, room, ping); CSV export formats the same records.
6. Bottom-tab navigation switches the four screens; the prototype mirrors the native app's information architecture one to one.

Tech stack:

• Interactive web prototype: HTML5, CSS3, vanilla JavaScript (phone-frame UI)
• Inline SVG/CSS heatmap rendering, animated SVG gauge
• Native build path: Kotlin, WifiManager / ConnectivityManager APIs
• Local persistence path: Room database; export: CSV
• No backend — on-device measurement and storage

• [Network scanner] Every nearby AP with SSID, band (2.4/5 GHz), channel, security type and live RSSI, ranked by signal strength with signal bars.
• [Congestion detection] Channels shared by multiple networks are flagged, with a note on which channel is clearest.
• [Coverage heatmap] Log RSSI room-by-room on a floor plan; the map paints excellent/good/fair/weak zones and calls out dead zones (rooms averaging below −70 dBm).
• [Guided speed test] One-tap test with an animated gauge reporting download, upload, ping and jitter, tagged with server and location.
• [Test history] Timestamped result cards per room with a CSV export option for the report.
• [Phone-frame prototype] All four screens (Scan, Map, Speed, History) demonstrated interactively in a mobile UI, bottom-tab navigation.
• [Native build path documented] The report maps each prototype screen to Android APIs (WifiManager, throughput measurement, Room database).

• Fully interactive web prototype of all four app screens
• Screen-by-screen native API mapping document (which Android API powers each feature)
• Project report PDF (background, WiFi measurement theory, methodology, screenshots)
• PPT presentation for final review
• Viva Q&A preparation document (RSSI interpretation, bands/channels, throughput testing)
• User guide for demonstrating the prototype

• The deliverable is an interactive prototype demonstrating all screens and logic; the native Kotlin build is documented as the build path, not shipped as an APK.
• Speed-test figures in the prototype are simulated curves for UI demonstration, not measured throughput — the report states this explicitly.
• Real RSSI scanning needs Android location permission and a physical device; the prototype uses curated realistic data.
• Heatmap interpolation in the prototype is illustrative; the native design specifies the sampling approach.