Updated: Jul 25, 2023
1-Click Kit 
AI-powered emoji detectors can help increase engagement with their customers. It will help them to build strong relationships with their customers. The emoji detector will help you in analyzing your audience and their preferences so that you can deliver the right content. You can also use the technology to provide customer support to your customers by providing customized answers.
One of the most important aspects of AI-Powered Emoji Detector is that it will help you in detecting any kind of emotions and expressions on your face OR hand gestures from a web camera. It will help in detecting whether you are happy, sad, or angry, and so on. This technology is also used for predicting different kinds of expressions like happiness, fear, sadness, etc.
Deployment Information
Hand Emoji Detector created using this kit are added in this section. The entire solution is available as a package to download from the source code repository.
- Download, extract and double-click the kit installer file to install the kit.
- After successful installation of the kit, locate the zip file 'Emojinator.zip'.
- Extract the zip file and navigate to the directory 'Emojinator'.
- Open the command prompt in the extracted directory 'Emojinator' and run the command 'jupyter notebook'.
- Locate and open the 'Emojinator-notebook.ipynb' notebook from the Jupyter Notebook browser window.
- Execute cells in the notebook.
Click on the button below to download the solution and follow the deployment instructions to begin set-up. This 1-click kit has all the required dependencies and resources you may need to build your Emoji Detector App.
For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community
Development Environment
VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.
notebookby jupyter
10204 Version:v7.0.0b4Jupyter Interactive Notebook
notebookby jupyter
Jupyter Notebook 10204 Version:v7.0.0b4 License: Permissive (BSD-3-Clause)
Image Preparation and Processing
These libraries help in preparing data by annotating and labelling images. Also processes images for running machine learning algorithm. We use opencv library for capturing frames from live streaming videocam.
opencv-pythonby opencv
3491 Version:72Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
opencv-pythonby opencv
Shell 3491 Version:72 License: Permissive (MIT)
Data Analysis/Manipulation
These libraries help in analyzing data and doing data manipulations.
pandasby pandas-dev
38689 Version:v2.0.2Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
numpyby numpy
23755 Version:v1.25.0rc1The fundamental package for scientific computing with Python.
numpyby numpy
Python 23755 Version:v1.25.0rc1 License: Permissive (BSD-3-Clause)
matplotlibby matplotlib
17559 Version:v3.7.1
License: No License (null)matplotlib: plotting with Python
matplotlibby matplotlib
Python 17559 Version:v3.7.1 License: No License
Machine Learning
Below libraries and model collections helps to create the machine learning models for the core recognition use cases in our solution.
tensorflowby tensorflow
175562 Version:v2.13.0-rc1An Open Source Machine Learning Framework for Everyone
tensorflowby tensorflow
C++ 175562 Version:v2.13.0-rc1 License: Permissive (Apache-2.0)
Utilities
The below utility library helps in storing huge amounts of numerical data and manipulate that data easily from NumPy.
h5pyby h5py
1882 Version:3.8.0HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
h5pyby h5py
Python 1882 Version:3.8.0 License: Permissive (BSD-3-Clause)
Kit Solution Source
Emojinatorby kandi1clickkits
0 Version:v1.0.0A simple emoji classifier for humans. 🖖
Emojinatorby kandi1clickkits
Python 0 Version:v1.0.0 License: Permissive (MIT)
Support
If you need help using this kit, you may reach us at the OpenWeaver Community.