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IOTA
Inspiration
Mr Abdelkader's cafateria taking fire because of an electricity accident,he's not alone,many people die each year because of suffocating from gas leak and carbone monoxide.A sensor could've predicted with a gaz sensor,a fire warning could've saved the lives and the goods.
What it does
a device that monitors different metrics (temperature, humidity, movement, light intensity, air pressure, and gas) using multiple sensors in the deployed area in order to send them back to the user and get notified when an accident happens. It also uses an artificial intelligence model to predict when an accident may happen so that the client can take the best measures to stop it.
How we built it
An ESP32 is equipped with different sensors and uses MQTT protocol with GSM (2G SIM card) to send the captured metrics to our server (node.js, Express.js, and PostgreSQL) where the AI model is running to predict when an accident may happen. The user has access to a mobile application that allows him to monitor different devices and receive notifications when an accident is predicted to happen or is happening.
Challenges we ran into
Lack of experience with manipulating some sensors
Accomplishments that we're proud of
We built an AI model that predicted the anomaly 1h 30 before the incident,we made the chip, the sensors, the mobile and the web application for selling our product
What we learned
In depth manipulation of IoT circuits and sensors, we learnt LSTMs for anomly detection, coordination in a team
What's next for IOTAI
Selling the product! we already got clients ready to pay for our iot devices and applications
Built With
- ai
- arduino
- c
- esp32
- express.js
- flutter
- gsm
- lstm
- machine-learning
- mqtt
- node.js
- postgresql
- python
- react
- sensors
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