Sentinel Edge

An IoT edge monitoring system that I built to understand how hardware and software communicate in a real-world application.

Instead of displaying simulated values, Sentinel Edge reads live environmental data from an ESP32 connected to multiple sensors, sends it to a FastAPI backend, and visualizes everything through a modern dashboard built with Next.js.

It started as an experiment with sensors and gradually evolved into a complete full-stack IoT project.

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What it does

Sentinel Edge continuously monitors:

• 🌡️ Temperature
• 💧 Humidity
• 🌫️ Air Quality (MQ2)
• 🚶 Motion Detection
• 📶 Device Connectivity

The ESP32 sends telemetry over Wi-Fi to the backend, and the dashboard updates automatically to reflect the latest sensor readings.

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Built With

Hardware

• ESP32 DevKit V1
• DHT11
• MQ2 Gas Sensor
• PIR Motion Sensor
• Active Buzzer

Software

• Next.js
• TypeScript
• Tailwind CSS
• FastAPI
• Python
• Recharts

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Project Preview

Dashboard

Hardware Setup

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How it works

ESP32
   │
Reads sensor data
   │
   ▼
FastAPI Backend
   │
Stores latest telemetry
   │
   ▼
Next.js Dashboard
   │
Displays live monitoring

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Why I built this

As an Electronics & Communication Engineering student, I wanted to move beyond individual Arduino experiments and build something that felt closer to a real IoT product.

This project helped me understand how embedded systems, backend APIs, and modern frontend applications work together to create a complete monitoring solution.

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Running locally

Backend

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload

Dashboard

cd dashboard
npm install
npm run dev

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Thanks for stopping by!!

If you have suggestions or ideas to improve the project, feel free to open an issue or reach out.