DR Cleaner

DR Cleaner

A drone that hunts waste! Our drone with an ML model will help cleaners to locate garbage through GPS via a Web app.

Created on 8th January 2023

DR Cleaner

DR Cleaner

A drone that hunts waste! Our drone with an ML model will help cleaners to locate garbage through GPS via a Web app.

The problem DR Cleaner solves

Major/General Concerns :-
Garbage is thrown over several streets and locations in India and is not cleared.
Cleaning workers have no clue where the waste is, and municipal officials have no way of tracking their activity.
A lack of communication between authorities and cleaners results in a significant loss of manpower.

More Problems caused by Road Side Garbage:-

  1. Aesthetic: Roadside garbage can detract from the appearance of an area, making it look dirty and uninviting.
  2. Health and safety: Garbage that accumulates along the side of the road can attract pests, such as rats and flies, which can
    spread diseases. It can also create hazards for pedestrians and motorists, such as by blocking visibility or causing accidents.
  3. Environmental: Litter and trash that is not properly disposed of can have negative impacts on the environment, such as by
    polluting soil and water and harming wildlife.
  4. Economic: Roadside garbage can discourage tourism and investment in an area, as it can give the impression that the
    community is not well-maintained. It can also be costly to clean up and dispose of improperly disposed waste.
  5. Social: Roadside garbage can contribute to a sense of neglect and disregard for the community, which can lead to social problems such as low morale and a lack of pride in the area.

Challenges we ran into

We ran into the following challenges : -

  1. Integrating all tech stacks (React js. , node js. , Djitelopi, Cloudinary, Twilio, Materialize etc) together to create an all-in-one web app
  2. Training the drone Djitelopi to correctly detect waste and its different types as well as detecting garbage hotspots during area survey
  3. Implementing searching and sorting algorithms according to certain parameters like distance, hotspot intensity etc for workers as well as garbage hotspots
  4. Making the web app’s UI simple and easy to use for common users
  5. Distributing tasks among all teammates and facing errors and knowledge blocks while creating such a detailed web app in just 36 hours
  6. Creating an elegant and well-explained video to convey the complex working of our web app and our future goals.

Discussion

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