EcoDetect IoT AI Device

IoT AI generative Device developed using Flask,MongoDB via Python with real time communication between multiple Raspberry Pi devices

Key Features

Communication between several Raspberry Pi's
Integration with AWS Services including:
- Lambda
- IoT Core
- Bedrock
- S3
- DynamoDB
- SNS
- SES
- IAM
- EC2
- Cognito
- API Gateway
An AI powered carbon footprint application
- Processes sensor data to provide users with advice
- Sensor notifications and predictive insights using Machine Learning Algorithms and thresholds that helps users reduce their carbon footprint

This current repository contains code for the main Raspberry Pi whilst the links below are for the seperate PI's

Name		Name	Last commit message	Last commit date
Latest commit History 194 Commits
.github/workflows		.github/workflows
cloud_services		cloud_services
datasets		datasets
models		models
sensor-frontend		sensor-frontend
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
alert_service.py		alert_service.py
auth_middleware.py		auth_middleware.py
backend.py		backend.py
backend_mobile.py		backend_mobile.py
conftest.py		conftest.py
device_ml.py		device_ml.py
docker-compose.yml		docker-compose.yml
energy_optimiser.py		energy_optimiser.py
model_generator.py		model_generator.py
package-lock.json		package-lock.json
package.json		package.json
pytest.ini		pytest.ini
reports.py		reports.py
requirements.txt		requirements.txt
sensehat_publisher.py		sensehat_publisher.py
sensor_mobile.py		sensor_mobile.py
sensors.py		sensors.py
test_integration.py		test_integration.py
test_system.py		test_system.py
test_unit.py		test_unit.py
testsensor.py		testsensor.py
validation_utlis.py		validation_utlis.py
wsgi		wsgi