Muhammed ZainSalman Faris
Published © MIT

Fight Fire πŸ”₯ - Wild Fire Prediction using TinyML 🧠

Fight Fire is a wildfire prediction device that will help the firefighting authority to respond quickly to the wildfire.

AdvancedFull instructions providedOver 1 day499

Things used in this project

Hardware components

Wio Terminal
Seeed Studio Wio Terminal
×2
Seeed Studio Grove - Temperature&Humidity Sensor (SHT40)
×1
Seeed Studio BOSCH BME680
×1
Seeed Studio Grove LoRa E5
×1
Seeed Studio Wio Terminal Chassis - Wio-E5
×1
18650 Battery
×1
Solar Panel (80*40 mm)
×2
MT3608 2A Max DC-DC Step Up Power Module
×1
TP4056 Li-ion Lithium Battery Charging Module
×1
Helium Hotspot (LoRaWAN)
Helium Hotspot (LoRaWAN)
×1

Software apps and online services

Arduino IDE
Arduino IDE
Edge Impulse Studio
Edge Impulse Studio
Google Colab
MQTT
MQTT
Node-RED
Node-RED
Solidworks
VS Code
Microsoft VS Code

Hand tools and fabrication machines

Soldering Station, 110 V
Soldering Station, 110 V
3D Printer (generic)
3D Printer (generic)
Hot glue gun (generic)
Hot glue gun (generic)

Story

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Custom parts and enclosures

Node enclosure

Assembly

Assembly

Schematics

Block diagram

Code

fightfire tinyml

Credits

Muhammed Zain

Muhammed Zain

7 projects β€’ 19 followers
Maker | IoT DEV | Designer | Electronics researcher | Robotics
Salman Faris

Salman Faris

24 projects β€’ 390 followers
Maker | Hardware Hacker | Electronics Enthusiast

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