The rural communities of developing countries depend on wild edible plants to meet their food requirements during periods of food shortage. Wild edible plants are mostly serving as supplementary foods in different parts of the world because they are nutritionally rich and can supplement especially vitamins and micro nutrients. Therefore, with the use of Convolution Neural Networks(CNN), we created a Flask application where the user selects the image which is to be classified. The image is fed into the model that is trained and the predicted class will be displayed on the webpage.

1. Himanshi Tiwari (19BCE10013)
2. Misha Sharma (18BCE10332)
3. Anvesh Audichya (18BEE10050)
4. Purushottam Mathur (19BEE0299)
5. Nishant Budia (18BEC0923)

Demo Video

• Tensorflow
• Keras
• FLask
• Numpy

• HTML
• CSS
• Javascript
• Bootstrap

• Jupyter Notebook
• Spyder