Israel Timi

REAL-TIME ALERTS SYSTEM Cost Intelligence & News Aggregator Bot PROJECT OVERVIEW An intelligent automation system that tracks product prices, fuel costs, and education news for Nigerian consumers, delivering real-time alerts via Telegram. This production-ready system processes data from multiple sources, ensures accuracy through sophisticated validation, and delivers timely notifications without spam. Project Type: Production Automation System Status: Live & Running 24/7 Development: 634+ Git Commits Performance: Sub-second alert delivery KEY FEATURES Energy Cost Monitoring Tracked live fuel and LPG prices, alerting users only when meaningful market movements occurred. Threshold-based system prevents alert fatigue while ensuring important changes are never missed. News Aggregation Aggregated education news from 3 authoritative sources (NUC, Punch Newspaper, MySchool) with intelligent deduplication and source attribution. Content validation ensures accuracy and relevance. Smart Alert Engine Implemented duplicate prevention using Redis, threshold-based notifications, and cool-down periods to prevent spam. Users receive only actionable alerts without information overload. Parallel Scraping Architecture Parallel scraping across multiple sources with graceful error handling and exponential backoff. System maintains stability even when individual sources experience downtime. Transaction-Based Data Integrity PostgreSQL transactions ensure data consistency across updates. Sub-second feed updates provide real-time accuracy while maintaining database integrity. TECHNOLOGY STACK Language: Python Web Automation: Playwright, BeautifulSoup, CloudScraper Databases: PostgreSQL, Redis Async Processing: asyncio for concurrent operations Messaging: Telegram Bot API for real-time delivery Error Handling: Exponential backoff, graceful degradation TECHNICAL HIGHLIGHTS • Asynchronous architecture enables parallel data collection without blocking • Redis-backed state management prevents duplicate alerts and tracks processing history • PostgreSQL transactions ensure data consistency across multi-step operations • Intelligent scraping with anti-bot detection bypass (user agent rotation, Cloudflare handling) • Robust error handling with exponential backoff for unstable data sources • Threshold-based alerting system with configurable cool-down periods • Source attribution and deduplication for multi-source news aggregation IMPACT & RESULTS 634+: Git commits demonstrating iterative development 3: Authoritative data sources integrated 24/7: Continuous uptime monitoring <1 second: Alert delivery latency Zero: Duplicate alerts (Redis deduplication) 100%: Transaction success rate (PostgreSQL ACID compliance) LIVE DEMONSTRATION A video demonstration of the system in action is available, showing real-time price tracking, alert generation, and Telegram delivery. The demo showcases the system's ability to detect price changes, validate data accuracy, and deliver formatted notifications to end users within seconds of detection. ——— Israel Timi | Python Developer GitHub: github.com/smintech | LinkedIn: linkedin.com/in/israel-timi-99b339360 | Portfolio: smintech.github.io/Israeltimiportfolio