TrendPulse
AI-Powered Trend Analysis and Data Visualization Dashboard
An intelligent platform that tracks and analyzes trends utilizing Google’s Generative AI, featuring background cron jobs for automated data synthesis and interactive time-series visualizations.
The Problem
Manually monitoring trends is time-consuming. Users require an automated solution that ingest large data streams and translates them into actionable visual insights.
Architecture
Monolithic Next.js 16 (App Router) with a custom Node.js entry point to bypass serverless constraints for long-running cron tasks. Integrated with Google Gemini AI and MongoDB Atlas.
Scalability
Uses a stateful Node.js environment to maintain cron job consistency. Designed for single-instance or distributed lock-based (Redis) deployment to avoid job duplication.
Performance
Optimized with PWA caching, debounced API queries, and Cloudinary media optimization. Features reactive Markdown rendering for AI-generated text responses.
Key Features
Core Industry Services
Project Ecosystem
Engineering Deep Dive
An inside look at the structural decisions, trade-offs, and scaling plans devised during implementation.
Context & Constraints
- Trend Monitoring & Analytics.
- Data Visualization & AI Dashboard.
- Automated Background Workflows.
Architecture Trade-offs
Used a custom server.ts to support node-cron, which breaks standard serverless hosting compatibility but ensures robust background task execution.
Database Modeling
Document-oriented structure using Mongoose, featuring time-series collections for tracking trends alongside AI summaries.
Scaling Plan
Repository Insights
Architecture data and repository metrics are synchronized via CI/CD telemetry.