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PlantCure.ai

  • 5 Devlogs
  • 4 Total hours

AI-powered plant disease detection using deep learning to identify crop diseases from leaf images in seconds.

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20m 18s logged

Plnatcure.ai was deployed on render and it was shipped but the reviewer rejected again said that it takes a long time finally agin struggling for hours i have deployed it on railway and will ship it again

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1h 38m 21s logged

Plantcure.ai idea has been changed from windows application to a website where anyone can test it , due to technical reasons i couldnt debug the issues with windows application (.exe)currently the project will get hosted on render pls do support me and the project

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21m 32s logged

after many rejections from reviewers i have changed the ui/ux components as they caused errors and didnt run in other pcs. eill fix everything from scratch again and ship it soon😔

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Ship #1 Changes requested

i built Plantcure.ai, it is a desktop app which detects plant diseases from leaf images using AI. The biggest challenge for me was tarining it on my no gpu laptop it took me 2-3 days to train it and packaging it into a windows app ,also fixing the version issues with tensorflow/keras. I’m proud that now it works offline, generates pdf reports and keeps history. To test it just download the release and run the .exe upload a infected plant leaf, click predict

  • 2 devlogs
  • 2h
Try project → See source code →
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1h 31m 3s logged

Today i worked on my few months old ai/ml model i traided in my laptop with no gpu 😭which took 3 days to train the model on 70k+ plant disease kaggle dataset. stopped working on it after the training and predicting worked. Today i gave this project the ui/ux and tried to package it as an windows application after many trials and errors it finally worked, will continue on this project tomorrow where ill give final touches and release it on github/stardance. STAY TUNED!!

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