deependraparmar / airiq-wittyhacks

Guys, this repository contains all the source code, files and folders which we created while working on the problem of AI and IOT powered Waste Management System at Wittyhacks3.0 and secured first position and won the Hackathon.

👋 Welcome to our project, AirIQ!

Waste has Physical Existence and it requires hardware for detection. Here Geeks.js presents a fantastic solution using IOT.

🔍 Purpose of Project:

Our project is aimed at detecting the amount or concentration of different types of gases like carbon monoxide, butane, methane, LPG, etc. in the gas generated by waste like sewage water etc. We aim to provide an efficient and cost-effective solution for monitoring gas emissions in waste management facilities.

💡 Approach:

Our approach involves the use of sensors to detect the different types of gases emitted by waste. The data collected by the sensors is then sent to a backend using an API. The backend processes the data and generates live and historical data visualizations to help track gas emissions and identify potential issues.

🔧 Working:

AirIQ uses a combination of sensors and an API to provide real-time data on the gas emissions of waste management facilities. The sensors are placed at strategic locations around the facility to collect data on the different types of gases emitted by the waste. The data is then sent to a backend using an API. The backend processes the data and generates live and historical data visualizations that can be used to identify potential issues and track gas emissions over time.

🚀 Getting Started:

To get started with AirIQ, you will need to set up the device. The device can be placed at strategic locations around the waste management facility to collect data on the different types of gases emitted by the waste. The data can then be sent to the backend using an API. Once the data is processed by the backend, live and historical data visualizations can be generated to track gas emissions over time. All these records can be easily analysed through our website.

👥 Contributors:

Our team consists of 4 members - Aashutosh Soni, Aditya Paliwal, Ayushi Chouhan and Deependra Parmar. We worked together to develop AirIQ and are committed to improving the efficiency and cost-effectiveness of waste management facilities.

Progress🚀

• We have made our device using IOT technology.
• The device is ready to be used. It has proper indicators like LED, Buzzer, etc.
• The device is at present capable to detect the composition (or concentration) of different gases in the air generated by decomposing waste and send the accurate data through an API.
• We have also created our frontend website part which has various sections like dashboard, About Us, How It Works, Live Data, Historic Data, etc.

💻Tech Stack Used -

• HTML, CSS, JS - For front-end part of website
• Node.js & Express.js - For back-end
• Replit - For hosting
• Cockroach DB- Database
• IOT Parts -
• • ESP32 - A series of low-cost, low-power system on a chip microcontroller with integrated Wi-Fi and dual-mode Bluetooth.
• • HC-SR04 - Ultrasonic Distance Sensor
• • Sensors-
• • • MQ 7 - Carbon mono-oxide sensor
• • • MQ 5 - Sensor for detecting LPG, natural gas
• • • MQ 135 - Sensor for detecting gases like Ammonia (NH3), sulfur (S), Benzene (C6H6), CO2, and other harmful gases and smoke.
• GoDaddy - For domain name Link