AI Radio Advertisement Monitoring System

We are looking to build an AI-powered Radio Advertisement Monitoring System for Pakistan. The objective is to automatically monitor multiple FM radio stations, detect advertisements using Audio Fingerprinting technology, and generate accurate reports without manual intervention. This system will be used by media agencies and advertisers to track radio advertisement broadcasts across Pakistan. --- # Project Overview We are looking for an experienced Python AI developer or development team to build a scalable Radio Advertisement Monitoring Platform. The software should continuously monitor multiple Pakistani FM radio stations, identify advertisements from a reference audio library, store all detections in a database, and generate professional reports and analytics. This is a long-term project with future expansion into TV, Digital Media, and Online Radio Monitoring. --- # Core Features ### Live Radio Monitoring * Monitor multiple FM radio stations simultaneously. * Record live radio streams 24/7. * Automatically split recordings by hour/day. * Store recordings securely. --- ### Advertisement Detection * Detect advertisements automatically using Audio Fingerprinting. * High matching accuracy. * Support MP3, WAV and other common audio formats. * Detect ads even if audio quality, volume or compression changes slightly. * Generate a confidence score for each detection. --- ### Advertisement Library (Admin Panel) The system must include an Admin Panel where administrators can: * Upload new advertisements. * Automatically generate audio fingerprints. * Edit advertisement information. * Delete advertisements. * Enable/Disable advertisements. * Organize advertisements by Brand. * Organize advertisements by Category. * Store advertiser information. * Store campaign information. * Search advertisements. * Bulk upload advertisements. * Replace existing advertisement versions. The system should immediately start detecting newly uploaded advertisements without requiring developer intervention. --- ### Information to Capture For every detected advertisement, store: * Advertisement Name * Brand Name * Advertiser * Product * Category * Campaign Name * Radio Station * Frequency * City * Program Name * Program Start Time * Air Date * Exact Air Time * Advertisement Duration * Commercial Break Position * Advertisement Ranking * Number of Airings * Confidence Score * Audio Clip * Recording Reference * Unique Detection ID --- ### Dashboard Dashboard should display: * Total Advertisements * Today's Airings * Station-wise Summary * Brand-wise Summary * Category-wise Summary * Top Advertisers * Top Stations * Most Aired Advertisements * Detection Accuracy * Live Monitoring Status --- ### Reports Generate: * Daily Reports * Weekly Reports * Monthly Reports * Custom Date Reports * Brand Reports * Advertiser Reports * Category Reports * Station Reports * Campaign Reports * Excel Export * CSV Export * PDF Export --- ### Search & Filters Users should be able to search by: * Brand * Advertisement * Category * Radio Station * Program * Advertiser * Campaign * Date * Time * City --- ### User Management * Admin * Manager * Viewer Each role should have different permissions. --- ### Notifications (Future Ready) Support future notifications for: * WhatsApp * Email * SMS * API --- ### Preferred Technology * Python * FastAPI * PostgreSQL * Redis * Docker * FFmpeg * Librosa * Audio Fingerprinting * Machine Learning Developers may recommend a better technology stack. --- ### Deliverables * Complete Source Code * Database * Admin Panel * Dashboard * API Documentation * Installation Guide * Deployment Support * User Manual * Bug Fixes --- ### Required Experience Please apply only if you have experience in: * Audio Fingerprinting * Broadcast Monitoring * Radio Monitoring * Advertisement Detection * Audio Signal Processing * Machine Learning * Python Development Please share similar projects or GitHub links. --- ### Questions 1. Have you built Audio Fingerprinting software before? 2. Have you worked with Radio Monitoring systems? 3. Which Audio Fingerprinting technology would you recommend? 4. What architecture do you recommend? 5. Estimated timeline? 6. Estimated budget? 7. Can you share similar projects? --- ## Future Roadmap This project will expand in future to include: * TV Advertisement Monitoring * News Channel Monitoring * Digital Streaming Monitoring * YouTube Advertisement Detection * AI Analytics * Mobile Application * REST API Integration * Multi-country Support We are looking for a long-term development partner who can continue enhancing the platform over time.