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+ (DetectAI – AI Video Detection App) - Coggle Diagram
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DetectAI – AI Video Detection App
Problem Statement
Rise of AI-generated fake videos
Difficulty in manual verification
Need for fast & reliable detection
Objectives
Detect AI-generated/manipulated videos
Provide authenticity score
Give easy, fast user interface
Features
Video Upload
Upload from gallery
Record using camera
AI Analysis Engine
Deepfake detection
Frame-level artefact analysis
Audio-video mismatch detection
Results Dashboard
Authenticity score
Highlighted suspicious frames
Confidence level
User Account System
Login / Signup
History of analysed videos
Notifications
Analysis complete alerts
Technology Stack
Frontend
Flutter / React Native
Backend
Python (FastAPI / Flask)
Video processing pipeline
AI Model
Deepfake detection models
CNN / RNN / Transformer based system
Data Flow
User uploads video
Backend processes frames
AI model analyses video
Score + explanation returned
Target Users
Students
Journalists
Content creators
General public
Challenges
High processing time
Model accuracy issues across styles
Server load & cost
Timeline
Week 1–2: Research & requirements
Week 3–5: UI/UX design
Week 6–10: AI model + backend integration
Week 11–12: Testing & deployment
Success Metrics
Detection accuracy
User adoption
Processing speed
Future Scope
Real-time video detection
Browser extension
Support for image/audio deepfakes