Cotton Disease Prediction Project With Deep Learning(Overview)

Website UI

Created a tool using transfer learning that recognize fresh and diseased cotton leaves with 95% accuracy after running 20 epochs.
Optimized Inception V3, and Resnet 50 to reach the best model.
Built a client facing UI using JavaScript, HTML and CSS.
Built a client facing API using flask.
Uploaded this project on Cloud using Heroku.

Technology and tools wise this project covers:

Dataset: https://drive.google.com/drive/folders/1vdr9CC9ChYVW2iXp6PlfyMOGD-4Um1ue

You can view on the details of this project here: https://www.youtube.com/user/krishnaik06

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Datasets		Datasets
images		images
static		static
templates		templates
AccVal_acc.png		AccVal_acc.png
LossVal_loss.png		LossVal_loss.png
Procfile		Procfile
README.md		README.md
Transfer Learning Inception V3.ipynb		Transfer Learning Inception V3.ipynb
Transfer Learning Resnet 50.ipynb		Transfer Learning Resnet 50.ipynb
app.py		app.py
model_inception.h5		model_inception.h5
model_resnet50.h5		model_resnet50.h5
requirements.txt		requirements.txt