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 day2,133

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

Read more

Custom parts and enclosures

Node enclosure

Assembly

Assembly

Schematics

Block diagram

Code

fightfire tinyml

Credits

Muhammed Zain

Muhammed Zain

12 projects β€’ 34 followers
Maker | IoT DEV | Designer | Electronics researcher | Robotics
Salman Faris

Salman Faris

26 projects β€’ 418 followers
Maker | Hardware Hacker | Electronics Enthusiast

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