- This repo contains codes used in a project for the half sem course Embedded Systems Workshop (ESW) at IIITH
- We sense the indoor air pollution levels at the place our node is deployed using various parameters such as CO2, VOC, PM2.5, PM10, Temperature, Humidity
- And then we show the data to user through a nice looking :) Dashboard.
- Visit the dashboard Here
Note:
This repo only contains the code used for our node and data validations. The code for Dashboard can be found at:
Calibrate
: Used to calibrate our data (The data are in CSV files) using python scripts (using linear regression)Deployment
: The final version of code uploaded to ESP32 stays hereFinal
: Python codes to fetch, create, delete OM2M resources (credentials)