Raspberry Pi 5 Smart Parking Occupancy Prediction Kit - ML-Driven Availability Forecasting

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Ever circled a packed parking lot wishing you knew which spots would open up next? This kit transforms eight individual parking bays into a live occupancy data feed, streaming via ESP32 microcontrollers to a Raspberry Pi 5. Onboard edge ML crunches historical patterns and real-time sensor pulses to predict bay availability 30 minutes into the future - you build the detection grid, train the model, and deploy a forecasting dashboard that parking operators or hackathon judges can actually use.

What You'll Build

You mount eight HC-SR04 ultrasonic modules over eight parking bays, each connected to an ESP32 that streams distance readings to the Pi 5 hub. A custom edge ML model on the Pi learns typical occupancy rhythms (peak hours, event spikes, turnover) and displays a colour-coded map plus a prediction timeline on a local web interface. End result: a working, low-cost, scalable smart parking system you can demo at university expos or integrate into Smart India Hackathon prototypes.

What You'll Learn

• Deploying time-series ML models (LSTM or XGBoost) on a Raspberry Pi 5 with NVMe SSD acceleration
• Multipoint ultrasonic ranging - eight synchronized HC-SR04 sensors without crosstalk
• Building a low-latency ESP32 mesh that pushes occupancy data via MQTT to a central server
• Creating a real-time dashboard with Flask or Node.js to visualize availability and predictions

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE and CSE students tackling Smart India Hackathon challenges on smart infrastructure, IoT, or AI/ML. CBSE Class 12 computer science students exploring practical ML deployment. ATL Tinkering Labs and university incubation centres (IIT, NIT, VIT, BITS) that need a robust, demo-ready parking solution. If you've tinkered with Arduino before and want to graduate to edge AI, this kit bridges the gap with real sensor data and a production-style model pipeline.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.