Depression Asisstant GDSC Challenge Solution

Last update: Jan 30, 2022

Overview

Depression Asisstant GDSC Challenge Solution

Depression Asisstant is software can help you give solution.

Developed by: Tech Futuristic Team GDSC Challenge Solution (Hars Sharma,Arunima Chatterjee,Ananda Rauf Maududi,and Mouna Aneddame) Developed date: 26 January 2022.

Result Face Emotion or Face Expression:

Contribute?

Requirement:

Python version 3.9.5, download at: https://wwww.python.org
Text editor / IDE : Visual Studio Code, download at: https://code.visualstudio.com/ https://visualstudio.microsoft.com
Plugin extension : Python, download at Visual Studio Code.
Library package deepface: tutorial deepface at:https://github.com/serengil/deepface
How to install library?: open cmd, and then typing pip install name library.
Setting your env variable in path system and user: path/python395,path/python395/Lib, and path/python395/Lib/Scripts.

How to use?:

Open CMD, and then typing py name_script_program.py or python name_script_program.py

Owner

Ananda Rauf

University Bina Sarana Informatika Jatiwaringin Indonesia . Owner/Founder Retailpedia and Glory Nation Inc . Technology Enthusiast.

GitHub Repository

Depression Asisstant GDSC Challenge Solution

Depression Asisstant can help you give solution. Please using Python version 3.9.5 for contribute.

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Depression Asisstant GDSC Challenge Solution

Related tags

Overview

Depression Asisstant GDSC Challenge Solution

Owner

Ananda Rauf

Depression Asisstant GDSC Challenge Solution

Locally Differentially Private Distributed Deep Learning via Knowledge Distillation (LDP-DL)

[ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets"

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An image processing project uses Viola-jones technique to detect faces and then use SIFT algorithm for recognition.

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs