Delivering Curated Domain Insights with AI Driven Automation, Scalable Architecture, and Real Time Email Intelligence

How Cogninest AI Developed an Intelligent Trend Monitoring & Subscription System

April 15, 2025· Amol Walunj

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Overview

This project is a subscription based platform designed to deliver curated, domain-specific news and trend insights to users in sectors such as Cybersecurity, Healthcare, and Finance. By aggregating content from diverse sources like RSS feeds and Reddit, the system employs AI driven classification to identify emerging trends and disseminates tailored email updates to subscribers.

Challenges

Diverse Data Sources: Integrating content from various platforms, each with unique data formats and reliability issues.
Data Consistency & Deduplication: Preventing storage of duplicate or overlapping articles.
Accurate Trend Classification: Assigning articles to appropriate trends, especially when dealing with ambiguous or incomplete data.
Scalability: Ensuring the system can handle a growing subscriber base and increasing data volume.
Automated Email Delivery: Creating and sending structured, HTML rich emails with relevant content to subscribers.

Solutions

Data Ingestion & Parsing: Developed scrapers for RSS and Reddit feeds, normalizing and cleaning data for consistency.
Hash Based Deduplication: Implemented hashing of article titles and summaries to identify and discard duplicates before database insertion.
Domain Specific Schemas: Utilized PostgreSQL to create separate schemas for each domain, storing article metadata and trend information.
Trend Classification Flow:
- Checked new articles against existing trends.
- Used language models to identify and summarize new trends when necessary.
- Assigned concise summaries to trends, inherited by related articles.
Feedback Loop: Implemented mechanisms to refine or merge overlapping trends based on thematic similarities.
Email Subscription & Delivery:
- Managed subscriptions with options to subscribe/unsubscribe from specific domains.
- Composed HTML emails with fresh trends, summaries, and recommended articles.
- Employed Celery for asynchronous, scheduled email dispatch.
Automated Scheduling & Maintenance:
- Scheduled tasks for feed scraping, classification, and email distribution.
- Ran scripts post trend updates to maintain accurate trend tags and dates.

Results

Enhanced User Engagement: Subscribers received timely, relevant updates, leading to increased satisfaction and retention.
Operational Efficiency: Automation reduced manual intervention, ensuring consistent performance even as the subscriber base grew.
Scalability: The architecture supported expansion into new domains and integration of additional data sources.

Key Takeaways

Integration of AI: Leveraging language models for trend classification enhanced the relevance and accuracy of content delivered to users.
Automation: Automated processes for data ingestion, classification, and email delivery streamlined operations and reduced overhead.
User Centric Design: Providing subscribers with control over their domain preferences and delivering content in a structured, visually appealing format improved user experience.

At Cogninest AI, we specialize in helping companies build cutting edge AI solutions. To explore how we can assist your business, feel free to reach out to us at team@cogninest.ai