Plant Beat

An app that can help monitor your plant's health

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Inspiration

  • Gardening as a hobby during Lockdown​
  • Growing own veggies at home​
  • Maintaining plant health​
  • Helping people to attain better experience​

What it does

  • The application aims to help the user to take better care of garden plants​
  • This involves diagnosing the plant disease by capturing and analyzing an image of the affected plant
  • The app also provides information about how one can cure the plant​

  • Features: Check my plant feature​ This allows us to either click a picture of the diseased plant using our phone's camera or lets us choose an image from our phone gallery. We can then save the image in the backend and analyze the image to get results​

    Gallery feature​ This feature shows us all the analyzed images and their analysis results​

    Shops​ This feature lets us browse through what near-by nurseries have to offer.​

How we built it

We built the frontend using react native. The backend was built using Flask and the database is MongoDB.

Challenges we ran into

  • It was difficult to send images to the backend. We tried a lot of things before it actually started working.
  • MongoDB Atlas connection with Flask didn't seem to work

Accomplishments that we're proud of

We are glad that the neural network works and sends some results to the frontend. We are quite new to ML projects and this was the first time writing a neural network so we were very worried about how it would turn out.

What we learned

This was our first time using Flask with React frontend and MongoDB database. So we learnt about how to connect Flask backend with MongoDB. We also had very little knowledge about Neural Networks and this was our first time implementing one. We also learnt how to send images to the backend and save them.

What's next for Plant Beat

  • Integrating a chat feature to chat with plant experts so that users can get suggestions and advice specific to their case.
  • Building a plant growth tracker​ -> Capturing images of a plant periodically​, analyzing the images and presenting statistics related to the growth of the plant​
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