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WebApp for animal lovers where they can upload informative blogs, post pet adoptions and identify breed of dogs with help of machine learning model.

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FluffZone - For animal lovers.

ekyc

Problem Statement (PS)

  • Isn’t it sad how people leave their pets on the street and you can’t do much about it?
  • FluffZone enables user to upload the animal's pictures and the other details as such their location so the other users in the same vicinity who want to adopt or help them can do so.
  • The main objective of this webapp is to provide every stray animal a home or shelter for their betterment, along with this users can find other useful information about different animals.
  • Users can post informative blog articles on animals.
  • The web application incorporates machine learning for detecting the breed of a dog.

Demo video link

Few screen snaps

  • Home Page

ekyc

- Breed Identification Page

ekyc

Tech Stack

  • Frontend
    • HTML5
    • CSS3
    • Bootstrap4
  • Backend
    • Django framework
  • Database
    • SQLite
  • Machine Learning
    • tensorflow
    • NumPy
    • Pandas

Local Setup

  • Clone repository.
  • Setup virtual environment
  • Exceute pip install -r requirements.txt.
  • run python manage.py runserver.
  • Go to 127.0.0.1::8000 in your web browser.

Members

  • Chiraayu Meghnani

Gmail LinkedIn

  • Varun Mamtora

Twitter Gmail LinkedIn

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WebApp for animal lovers where they can upload informative blogs, post pet adoptions and identify breed of dogs with help of machine learning model.

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