Waste has Physical Existence and it requires hardware for detection. Here Geeks.js presents a fantastic solution using IoT.
Our project is aimed at detecting the amount or concentration of different types of gases like carbon monoxide, butane, methane, Quality Index, 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.
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.
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 analyzed through our website.
Our team consists of 4 members:
- Aashutosh Soni
- Aditya Paliwal
- Ayushi Chouhan
- Deependra Parmar
We worked together to develop AirIQ and are committed to improving the efficiency and cost-effectiveness of waste management facilities.
- We have developed a device using IoT technology.
- The device is ready to be used and has indicators like LED, Buzzer, etc.
- The device is capable of detecting the composition (or concentration) of different gases in the air generated by decomposing waste and sending accurate data through an API.
- We have also created the front-end website which includes sections like dashboard, About Us, How It Works, Live Data, Historic Data, etc.
- HTML, CSS, JS - For the front-end part of the website
- Node.js & Express.js - For the 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 monoxide 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 the domain name.
ps: update
We are proud to announce that we won the Hackathon! We would like to express our gratitude to everyone who supported us. As the team leader, I want to thank each member of our team for their hard work and dedication. I couldn't have achieved this without their contributions.
For more details about our project, you can visit:
- Devpost - Detailed information about our project on Devpost.
- AirIQ.us - Hosted Webpage.
- Linkedin - Linkedin Post.
- Twitter - Twitter Post.
Thank you once again to everyone who contributed and supported us. We are excited about the future possibilities of AirIQ! 🙏🏻🚀✨