AdGuardAI Compliance Monitoring System
Budget: $750 – $1,500 AUD
Workflow: Ad Registration to Post-Market Monitoring
STEP 1: Ad Submission (Pre-Approval)
User: Advertising Company
Actions: - Registers/logs in to AdGuardAI Ad Portal - Fills ad metadata (product, target audience, medium, etc.) - Uploads ad file (video, audio, image, or text) - Submits for review
STEP 2: AI Pre-Screening
System: - Converts ad to text (OCR + speech-to-text) - Analyzes: - Claims (e.g., “cures,” “guaranteed,” etc.) - Disclaimers - Visuals (logos, packaging, prohibited icons) - Compares with AdGuardAI’s rule database - Scores the ad for risk level - Flags questionable content
STEP 3: Human Reviewer Validation
User: AdGuardAI admin user
Actions: - Reviews AI feedback - Requests revision OR approves ad - Stores “Approved Ad Fingerprint” (hash + AI content map)
STEP 4: Live Market Monitoring
System: - Monitors: - TV/radio via stream parsing or partner feed - YouTube, Facebook, TikTok via API - Print via manual upload - Extracts media → runs OCR + speech-to-text + image analysis - Matches ad against approved version - Checks for altered audio, text, visuals, speed of disclaimers, etc.
STEP 5: Violation Flagging
System: - If deviation is found: - Logs violation - Alerts assigned AdGuardAI admin user - Links to original and altered version - Stores evidence with timestamp
STEP 6: Enforcement / Public Action
User: AdGuardAI admin User
Actions: - Reviews violation - Issues takedown or fine - Can notify company and give time to correct - May publish warning to public - Logs action taken
Dashboard Features
Feature Description
Monitored Ads List of all ads tracked, by company, medium, date
Violation Alerts High-priority issues flagged by AI
Trends Common violations, industry behavior
Reports Export PDF summaries by month or quarter
Evidence Archive Links to recordings and AI analysis of flagged ads
Tech Stack Summary
Layer Technology
Frontend React.js, Tailwind CSS
Backend Django or Laravel
AI Layer Python (spaCy, OpenCV, Tesseract, PyTorch)
Media Tools ffmpeg, AWS Transcribe, Google Vision
DB PostgreSQL + Elasticsearch
Security Role-based access, audit logs, encrypted uploads
STEP 1: Ad Submission (Pre-Approval)
User: Advertising Company
Actions: - Registers/logs in to AdGuardAI Ad Portal - Fills ad metadata (product, target audience, medium, etc.) - Uploads ad file (video, audio, image, or text) - Submits for review
STEP 2: AI Pre-Screening
System: - Converts ad to text (OCR + speech-to-text) - Analyzes: - Claims (e.g., “cures,” “guaranteed,” etc.) - Disclaimers - Visuals (logos, packaging, prohibited icons) - Compares with AdGuardAI’s rule database - Scores the ad for risk level - Flags questionable content
STEP 3: Human Reviewer Validation
User: AdGuardAI admin user
Actions: - Reviews AI feedback - Requests revision OR approves ad - Stores “Approved Ad Fingerprint” (hash + AI content map)
STEP 4: Live Market Monitoring
System: - Monitors: - TV/radio via stream parsing or partner feed - YouTube, Facebook, TikTok via API - Print via manual upload - Extracts media → runs OCR + speech-to-text + image analysis - Matches ad against approved version - Checks for altered audio, text, visuals, speed of disclaimers, etc.
STEP 5: Violation Flagging
System: - If deviation is found: - Logs violation - Alerts assigned AdGuardAI admin user - Links to original and altered version - Stores evidence with timestamp
STEP 6: Enforcement / Public Action
User: AdGuardAI admin User
Actions: - Reviews violation - Issues takedown or fine - Can notify company and give time to correct - May publish warning to public - Logs action taken
Dashboard Features
Feature Description
Monitored Ads List of all ads tracked, by company, medium, date
Violation Alerts High-priority issues flagged by AI
Trends Common violations, industry behavior
Reports Export PDF summaries by month or quarter
Evidence Archive Links to recordings and AI analysis of flagged ads
Tech Stack Summary
Layer Technology
Frontend React.js, Tailwind CSS
Backend Django or Laravel
AI Layer Python (spaCy, OpenCV, Tesseract, PyTorch)
Media Tools ffmpeg, AWS Transcribe, Google Vision
DB PostgreSQL + Elasticsearch
Security Role-based access, audit logs, encrypted uploads
Related categories:
Python
Graphic Design
Django
PostgreSQL
Laravel
Elasticsearch
React.js
Tailwind CSS
AI Model Development
AI Development