Team Bitcoders Robothon 2020

Official submission of team Bitcoders, the winners of Robothon 2020 NIT Raipur.

About

A water quality index solution to find the quality of water of rivers in remote areas.

Backend:

We've created the backend of our project in Django using the Django's predefined User Model and Heroku is used for deployment. For the database, we're using PostgreSQL. Currently, the backend supports user registration and login only.

Setup :

Create a virtual environment with Python3.7: virtualenv env -p python3.7. If you dont have python3.7 yet then you can install it with: linux(ubuntu/debian) - sudo apt install python3.7 windows - Download installer from https://www.python.org/downloads/release/python-370/.
Activate the virutal environment: source env/bin/activate
Install all the dependencies in requirements.txt file: pip install -r requirements.txt
Migrate the migrations: python manage.py migrate
Run the app: python manage.py runserver
Navigate to http://localhost:8000 in your browser
When you are done using the app, deactivate the virtual environment: deactivate

IoT :

We are using Arduino Uno microcontroller board to send water quality index stats to the display device via WiFi.

The components used :

Arduino Uno
Temperature Sensor
TDS Sensor
NOx Sensor
Wifi Module
Jumper Wires
USB Cable
Arduino IDE (to upload program to the board)

You can download the Arduino IDE from: https://www.arduino.cc/en/main/software

Steps :

Connect the IoT components.
Download and install arduino ide.
Copy the source code from IoT folder.
Connect the arduino to PC via usb cable.
Compile and upload the code to the board.
Open the ide console to view the output values.
Connect your device (app/web) to the WiFi of our system.
Voila! You have the water quality stats on your device.

Team

Ayush Ganguli
Aryan Sarkar
Aman Verma
Aman Dewangan
Arnav Tripathi