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1. Anti-misinformation-Platform Anti-misinformation-Platform Public

   Anti-misinformation Platform combined with browser extension application, web application, and back-end. For the back-end, I used built-in machine learning model to classify the text string informa…

   1

2. Cytoscape_drag-and-drop Cytoscape_drag-and-drop Public

   DEMO for displaying drag-and-drop function module via Cytoscape.js

   JavaScript 1

3. Misinformation_Flask_API Misinformation_Flask_API Public

   This is the back-end of the system, it contains trained Xception model to classify the manipulated facial images and videos, which includes Deepfakes, Face2Face, and FaceSwap.

   Python 6

4. misinformation_slayer misinformation_slayer Public

   MisinformationSlayer is browser extension aimed to notify people who cannot tell the Misinformation spreading on Facebook, Twitter and other social media.

   JavaScript 2 1

5. Detection-of-Manipulated-Facial-Video Detection-of-Manipulated-Facial-Video Public

   Final project in ECE-GY 9123: Deep Learning

   Jupyter Notebook 3

6. Reporters_platform Reporters_platform Public

   Create prototype for the community to gather the well educated people and inspire them to identify misinformation and help others.

   Vue 5 3