My name is Ram Ashish Maurya, TEAM LEADER OF TEAM CCC along with my teammates Riya Tiwari, Shivam Upadhayay, Ruchi Kholiya and Rajdeep Saini working on the Project that leads Urban waste management inefficiencies require innovative solutions integrating deep learning and IoT.
PROBLEM DESCRIPTION
Description 1
Overflowing bins lead to unsanitary conditions, environmental hazards, and increased operational expenses.
Description 2
Traditional approaches lack real-time monitoring and optimization capabilities, resulting in suboptimal waste collection routes.
Description 3
There's a critical need for innovative solutions leveraging modern technology to address these challenges and promote sustainability.
Description 4
Our project aims to develop a Smart Dustbin System (SDS) using deep learning and IoT technologies to monitor waste levels and optimize collection routes.
Description 5
Overflowing trash cans make cities dirty and cost more money to clean up.
SOLUTIONS
The FEATURES which we implemented on our platform include:
1.Smart dustbin
Equipped with ultrasonic, gas, temperature, and humidity sensors for waste level monitoring, gas detection, and environmental measurements, with LED status indicator.
2.Vehicle routing plan
It utilizes an efficient system considering waste type, truck size, waste sources, total distance, road conditions, workers' wages, and shift times for optimized waste collection from smart dustbins.
3.Communication Technologies
The system employs Bluetooth, Wi-Fi, RFID, LoRa, ZigBee, and GSM for data transmission between the smart dustbin, IoT module, and cloud storage or garbage collector.
4.Web Server
A webserver where all the data received by the bin and collect it into the database.
GITHUB REPO LINK
GITHUB REPO
Devfolio Submission Link
Deployed Project Link
PPT LINK
PRESENTATION LINK
DEMO VIDEO LINK

*OVERALL EXPERIENCE
Our team CCC got amazing experience with participation in this hackathon. We got amazing knowledge and experience with our seniors speaker and mentors.
The faculties and coordinators are too humble and supporting to make our project good and valuable. There suggestions means us a lot.
Some Sneak peak of goodies in this hackathon are:-