Plant Disease Identification with Deep Learning
- Implemented a plant disease identifier web application on AWS with an accuracy of 97% using the AlexNet model and Word2vec as a team.
- As a team designing an automatic system for the identification of plant disease from image and textual descriptions which was implemented on a website using AWS.
- Used AlexNet as the deep learning model for image data and planning to use Word Embeddings for the textual data.
- Developed a website for the deep learning model and hosting it on an EC2 instance of AWS.
- Date: February 2020 - February 2021
- Number of group members: 4
- Skills: Python, AWS, Deep Learning, Flask, Scripting
