Wi-Fi Heatmap AI Project
Smart Indoor Signal Mapping
Project Concept
Presented at the National Conference of Advanced Systems in Electrical Engineering (NCASEE’25). This project uses unsupervised intelligence to visualize signal strength inside rooms, identifying dead zones without the need for GSM modules.
The Challenge
Wireless signals are often obstructed by walls and furniture. Traditional mapping requires expensive hardware. I needed a way to collect and interpolate spatial data using only an ESP32 and Python.
The AI Solution
I implemented **Inverse Distance Weighting (IDW)** to estimate signal strength in unmeasured areas. The system normalizes RSSI values (0 to 1) and generates a high-resolution grid map for intuitive dead-zone detection.
Key Technical Features
ESP32 WiFi.scanNetworks()
Spatial Interpolation (IDW)
RSSI Data Normalization
Dynamic Heatmap Visualization