Landing Page - 1
Landing page (Dashboard) - 2
Check Many feature - 3
Loading page - 4
AI Text Checker feature - 5
AI Text Checker feature Result - 6
Landing Page (uploading ) - 7
Video Deepfake AI detection result - 8
Video AI result (cont) - 9
Source finder feature - 10
Source finder image upload - 11
Source finder image result - 12

Proofy.AI

Project Story

Inspiration

Proofy.AI began from a real incident at home.

My mother almost invested money after watching a video that appeared to show India’s Finance Minister, Nirmala Sitharaman, promoting an investment scheme. The video looked authentic, the voice was convincing, and there were no obvious red flags. Only later did we discover that the video had been generated using AI.

When we tried to verify the video, we realized that most available detection tools were designed for researchers or large organizations. They were either too technical or inaccessible for everyday users. There was no simple way for someone without technical background to verify content before trusting it.

Proofy.AI was built to bridge this gap and give regular users an easy, reliable way to verify digital content before falling victim to scams or misinformation.

What It Does

Proofy.AI allows users to verify whether digital content such as videos, images, audio, or text is authentic or AI-generated through simple and accessible interfaces.

Mobile App

The mobile application is designed for real-world usage, especially when users are already watching or reading content.

Instant Screen Analysis

Users do not need to open the app manually. Pressing the Volume Up and Volume Down buttons together triggers a secure system overlay that captures whatever is currently visible on the screen and sends it for analysis.

The system was tested to ensure reliable interpretation of partial screenshots, UI overlays, and compressed screen captures, which are common during real-world usage.

Video Verification

Videos are analyzed frame by frame rather than as a single compressed file. The system checks for:

Frame-level inconsistencies
Unnatural facial movements
Motion interpolation artifacts
Lip-sync mismatches
Temporal glitches common in AI-generated videos

By evaluating how visual inconsistencies evolve across frames, the system can detect subtle manipulations that may not be visible in individual frames.

Voice and Text Detection

Users can paste text or record short audio clips for verification.

Voice analysis focuses on rhythm, pacing, pauses, and unnatural consistency often found in synthetic speech. Text analysis checks for repetitive phrasing, overly uniform structure, and patterns commonly seen in AI-generated or scam-related content.

Source Finder

Images are traced to determine whether they have been reused, edited, or presented out of context. The system focuses on identifying semantic similarities rather than exact duplicates to catch modified or cropped versions.

Browser Extension – On-Screen Verification

The browser extension enables users to verify content directly on the webpage they are viewing.

Analyzes visible videos, images, and text in real time
Works across news sites, social media platforms, and embedded media
Does not require downloads, uploads, or switching tabs

Special care was taken to ensure accurate interpretation of dynamic webpages, overlays, captions, and partially visible media.

Web Platform – Advanced Verification & Analysis

The web platform is intended for deeper inspection and detailed review, especially for users who want to understand why content was flagged.

Multi-File Verification

Users can upload and analyze multiple files simultaneously, including videos, images, audio files, and text documents. Each file is processed independently, with results displayed together to allow easy comparison across formats.

Frame-Level Video Analysis

Uploaded videos are broken down into individual frames and analyzed for:

Facial distortions or unnatural expressions
Lighting and shadow mismatches
Motion and lip-sync inconsistencies
Visual artifacts produced by generative models

Instead of providing only a final verdict, the platform highlights exact timestamps where anomalies occur.

Audio Verification & Voice Clone Detection

Audio files can be uploaded or recorded directly for verification. The system checks for:

Synthetic or generated speech
Voice cloning indicators
Replayed or manipulated audio segments

Analysis focuses on micro-variations in human speech, such as breath patterns, timing irregularities, and unnatural smoothness.

AI Text & Fact Consistency Checks

Written content is evaluated to determine whether it was likely generated by AI based on:

Repetitive sentence structures
Overly consistent phrasing
Limited linguistic variation

The system also checks the logical consistency of the content itself by identifying:

Internal contradictions
Unsupported or unverifiable claims
Fabricated or hallucinated facts
Language patterns commonly used in scams

Original Source Finder

Images are traced across the web to identify:

Where they first appeared
Whether they have been reused or edited
If they are being presented in a misleading context

Detailed Analysis & Export

After verification, users receive a structured breakdown explaining:

What was analyzed
What issues were detected
Why certain sections were flagged
Confidence indicators with supporting evidence

The analysis can be exported as a file for documentation or sharing.

How We Built It

Proofy.AI was developed as a multi-platform system where the mobile app, browser extension, and web platform share the same detection logic while being optimized for their specific environments.

Challenges Faced

One major challenge was implementing the volume-button trigger on Android, which required careful handling of system permissions and background execution.

Another challenge was maintaining detection accuracy while keeping the system fast and accessible for non-technical users.

Accomplishments

First place at a national-level hackathon held at IIT Delhi
Awarded a ₹50,000 cash prize
Built a complete ecosystem including a mobile app, web platform, and browser extension
Implemented instant on-screen verification
Designed with real users and real-world trust issues in mind

What We Learned

We learned that for public-facing AI systems, explainability and usability matter as much as technical accuracy. People are more likely to trust and use a system when they understand its decisions.

What’s Next

We plan to expand Proofy.AI for journalistic, investigative, and institutional use cases, where transparent verification, timestamp-level evidence, and clear explanations are essential.