Carbon Eater

• 

  hardware unit

• 

  Alert app UI

• 

  Detection Ui

Inspiration

When we see the data from the globe it has been found that the out of top 20 polluted cities from the world 10 city from the India. Thousands of people died due to this air borne diseases arises such as asthma,skin cancer and so on. So we are trying to making a innovation that reduces the air pollution.

What it does

So basically if we talk about what it actually does it takes three data input Google Map , AQI Data, Traffic data on the basis of this when it reaches to a threshold value it automatically switch on the carbon eater.And along with that it alert the nearby people to take precaution.

How we built it

We have built it with the help of TechStack such as AI, ML and IOT devices.

Challenges we ran into

The challenges that came across its building is the integration of hardware and software part. Our main objective was optimising the whole process of cleaning the air. In that way we're taking up 3 data. So increasing the accuracy of the data was the biggest challenge.

Accomplishments that we're proud of

We are really proud for this as it successfully solving the real life challenges. And we have seen that various experiment are done for this and they cost highly but it solving this challenges with addorfable cost. We successfully able to integrate all the 3 domains and able to send the alert to the people. And install the tested the whole system through all data sets and it gives positive and effective results and things view on the step of solving the problem.

What we learned

We have learnt how we solve a real life challenges how we integrating the hardware and the software part.And also we have learnt the handson knowledge of technology.Team building is the thing which is most important in all these big ambitious project. We learn about team building and new technology and most important connecting different chunks of projects and make it a big project integration for most biggest learning.

What's next for Carbon Eater

Next we are interacting with government so that we can set up on a large scale.

Built With

• ai
• cloud
• flask
• iot
• ml
• novo
• opencv
• python
• react
• streamlit
• yolo