TrueVision AI: Comprehensive AI-Powered Digital Identity Protection Platform
TrueVision AI offers detection, protection, evidence generation, and reporting tools to combat deepfakes and safeguard digital identities in the AI era.
The Problem: Identityat Risk
The Growing Deepfake Crisis:
Artificial Intelligence has made it easy to create realistic fake images and
videos.
Current Challenges
• Deepfake images and videos are increasing rapidly.
• Personal photos are used without permission.
• Fake social media profiles damage reputations.
• Victims struggle to verify manipulated content.
• Reporting cybercrime is complex and time-consuming.
• Existing tools only detect deepfakes but do not help users protect their
digital identity.
Need: A single platform that can detect, protect, generate
evidence, and assist victims.
3.
Our Solution
Introducing TrueVisionAI
An AI-powered Digital Identity Protection Platform that helps users:
• Detect AI-generated images and videos.
• Detect unauthorized use of their face.
• Analyze fake profiles.
• Secure digital identity.
• Receive cybercrime reporting guidance.
• Store evidence safely for future use.
Mission: Protect every individual's digital identity from AI
misuse.
4.
Key Features
AI DeepfakeDetection
An AI-powered Digital Identity
Protection Platform that helps users:
Face Verification
Secure face-matching with privacy-
preserving embeddings to confirm
identity links.
Unauthorized Media
Detection
Scans web and social channels for re-
uploads and impersonation attempts.
Evidence Report Generator
Automated, forensically structured
PDF with timestamps, hashes, and
model outputs.
Reporting Guidance
Step-by-step templates for platform
takedown requests, legal notices, and
law enforcement.
Explainable AI
Human-readable rationales
highlighting why media is suspicious
(artifacts, splice points, model
confidence).
5.
Innovative Features (USP)
WhatMakes TrueVision AI Unique?
Digital Identity Shield:
Securely registers and protects users' facial
identity.
Fake Profile Analyzer:
Identifies possible impersonation accounts.
Reputation Risk Score:
Calculates the severity of identity misuse.
Secure Evidence Vault:
Stores evidence securely for future legal use.
Consent Certificate:
QR-based proof of permission for AI-generated
content.
AI Legal Assistant:
Helps users prepare complaint drafts and
understand reporting steps
6.
How It Works?
User Workflow
1. Register/Login
2. Create Digital Identity Shield
3. Upload Image or Video
4. AI Deepfake Analysis
5. Face Match Verification
6. Generate Risk Score
7. Create Evidence Report
8. Save to Evidence Vault
9. Report to Social Media/Cybercrime
Portal
.
Innovation & Impact
WhyTrueVision AI?
Originality
Combines AI detection, identity protection, evidence generation, and
reporting into one platform.
Social Impact
• Protects students, professionals, creators, and the public.
• Reduces identity theft and online impersonation.
• Promotes responsible AI usage.
Cybersecurity Impact
• Strengthens digital trust and supports safer online communities.
9.
Feasibility & Scalability
Feasibility
•Uses existing AI models.
• Cloud-based deployment.
• Can be developed as a web platform with future mobile support.
• Uses cost-effective open-source technologies.
Scalability
• Future Expansion
• Browser Extension
• Mobile Application
• Enterprise Dashboard
• Educational Institutions
• Government Collaboration
• Multi-language Support
Roadmap, Challenges &Closing
Near-term Roadmap
Browser extension, social platform
integrations, multilingual UI, beta
program with campus partners.
Technical & Ethical Challenges
Detection accuracy for ultra-high-quality
deepfakes, balancing privacy/consent,
platform API constraints, and legal
variability by jurisdiction.
Future Enhancements
Real-time video streaming analysis,
blockchain-backed evidence
timestamping, and expanded law-
enforcement integrations.
"In the age of AI, protecting digital identity is as crucial as protecting physical identity. TrueVision AI empowers users to detect
deepfakes, preserve evidence, and take informed action."
Next step: Pilot with campus community and solicit early-stage investment for a scalable proof-of-concept.
12.
TEAM MEMBERS
R SUNMATHI- BBA 2 YEAR
NEVETHAA C V - Bsc COMPUTER SCIENCE 2 YEAR
POOJA SRI B - Bsc COMPUTER SCIENCE 2 YEAR
PRISHA G - Bsc COMPUTER SCIENCE 2 YEAR
Editor's Notes
#7 Technology Stack
Frontend
We're using Flutter for cross-platform mobile development, combined with HTML, CSS, and JavaScript for web interfaces
This gives us flexibility to reach users on multiple devices
Backend
FastAPI and Flask handle our server-side logic
Both are lightweight and perfect for our API requirements
Database
Firebase provides our cloud database solution
Offers real-time capabilities and easy scalability
AI Models
OpenCV and FaceNet handle computer vision and facial recognition
We've integrated a specialized deepfake detection model to identify manipulated media
TensorFlow and PyTorch power our machine learning infrastructure
Security
AES encryption protects data in transit
SHA-256 hashing secures sensitive information at rest
These are industry-standard security measures
Deployment
Firebase Hosting handles our deployment and CDN distribution
Ensures fast, reliable access globally
This stack balances performance, security, and scalability while keeping development efficient.