GitHub / Darwinhareesh / Emoji-Recommendation-system-based-on-facial-expression-using-cnn
This project is about real time emoji recommendation based on facial expression. It is built using pretrained model Mobilenetv2. It detect 7 different expressions like happy,sad,angry,etc., using a web cam using opencv. This project is deployed using Flask
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 106 KB
Dependencies parsed at: Pending
Created at: 5 days ago
Updated at: 5 days ago
Pushed at: 5 days ago
Last synced at: 5 days ago
Topics: cnn, cnn-classification, cnn-keras, colab-notebook, deep-learning, emojireader, face-detection, face-recognition, full-stack-data-science, g1-fsds, jupyter-notebook, machine-learning, mobilenetv2, opencv, python, raf-db, real-time-emoji-recommendation, sklearn, tensorflow