DeepGuard | Deepfake Detection
Mohammad Al Bali
NodeJS Development
Artificial Intelligence
Flutter Developer
Flutter
MongoDB
Node.js
DeepGuard:
In an era where misinformation is increasingly prevalent, our project aims to serve as a beacon of truth by detecting deepfakes across various forms, including text (Arabic and English), audio, and images.
Introducing DeepGuard – Key Features:
- Multilingual Capability: Precise detection of deepfakes in both Arabic and English texts.
- Comprehensive Analysis: Utilizes advanced algorithms to scrutinize audio and images for deepfake content.
- Real-Time Detection: Leverages latest technologies for instantaneous detection and response.
- Chatbot Integration: An intent-driven chatbot to assist users in real-time.
- Scalable Community: Designed to grow and adapt, ensuring ongoing relevance and impact.
A notable aspect of DeepGuard is our innovative approach to generating datasets using neural networks for both Arabic and English text, ensuring robust and reliable detection capabilities.
Introductionary to DeepGuard
Don't Worry about Authenticity!
Check data in a click with advanced trained AI models and get your answers
Upload Files in both Light & Dark Mode
Chat with an Advanced AI Bot!
If you feel the need of assistant in any moment, chat with pixel, our advanced trained AI bot
News at the Palm of Your Hand!
Check what's buzzing in the world
Home Page & News Page
Introducing Community!
In a world where opinions matter, check what other people have found and interact with them in a real-time world and share your results too!
Watch our Demo
There's isn't a better way to understand than to watch and interact
Many Thanks to the dedication and expertise of our outstanding team:
- Mohamad Bali : Software Engineer
- Mina Ibrahim : AI Engineer
- Farah Halteh : AI Engineer
- Raneem Zerkly : AI Engineer
