NeuroShield.
NeuroShield is a ai deepfake detection · graduation project built by Yousef Ali Mansour. Microservices platform that analyzes video to detect deepfakes and verify authenticity — Django + FastAPI inference pipeline.
At a glance
| Project | NeuroShield |
|---|---|
| Type | AI Deepfake Detection · Graduation Project |
| Built by | Yousef Ali Mansour — Founder & CEO at NUMU · Backend & Platform Engineer |
| Stack | Django, FastAPI, PostgreSQL, Redis, Docker |
| Source | github.com/Neuroshield-team/backend-neuro |
| Last updated |
What I built
- Co-built the backend of NeuroShield, an AI platform that analyzes video to detect deepfakes and verify content authenticity.
- Architected a microservices backend (Django + FastAPI) with PostgreSQL and Redis, fully containerized with Docker Compose.
- Built a secure file-upload and video-processing pipeline that runs deepfake-detection inference and exposes results through a REST API.
Stack
DjangoFastAPIPostgreSQLRedisDocker
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