Background

The AI Web Analyzer is a final year project designed to deliver personalized web content through an AI-embedded chatbot. The project addresses the challenges of content delivery in a fast-paced information environment, where many websites don’t offer RSS feeds. By integrating AI, the tool will analyze and push relevant updates to users, enhancing their ability to stay informed.

The AI Web Analyzer project aims to revolutionize information delivery by providing a solution that proactively delivers digested content from selected websites. This is achieved through a chatbot that utilizes AI to analyze web data, thereby overcoming the limitations faced by users in finding specific updates.

Objectives

• Develop a SaaS Product
  • Create a service, such as a Discord Bot, that uses AI to analyze web content. This product will allow users to integrate seamlessly with their existing platforms, offering a convenient and accessible tool for information retrieval.
  • Ensure that the service is scalable to handle numerous users and adaptable to various domains, from news to niche interest groups.
• AI Digested Content Delivery
  • Implement a robust system that pushes daily updates to users based on their preferences. This involves developing algorithms that learn user interests over time, providing increasingly relevant content.
  • Incorporate user feedback mechanisms to refine and improve content recommendations continually.
• User Engagement:
  • Enhance user satisfaction by delivering personalized content and allowing users to ask follow-up questions. This involves integrating interactive elements within the chatbot to facilitate deeper engagement.
  • Develop features that allow users to customize their experience, such as setting notification preferences and choosing content categories.

Project Schedule

Phase and Period	Deliverables and Milestones	Status
Phase 1: Aug 2024 – Oct 2024	Research on digested content delivery with GenAI Deliverables: – Detailed Project Plan (Download) – Project web page	Done
Phase 2: Oct 2024 – Dec 2024	Design and develop a robust web scraping module to gather data from a web page efficiently. Prototype and test initial scraping scripts.	In Progress
Phase 3: Dec 2024 – Jan 2025	Integrate AI models to process and analyze the collected data, ensuring relevance and accuracy.
Phase 4: Jan 2025 – 2025	Implement a notification system that delivers updates via a chatbot, focusing on user-friendly interaction. Deliverables: – Preliminary implementation – First Presentation – Interim report
Phase 5: Feb 2025 – Mar 2025	Conduct testing with various use cases, such as pushing updates of the latest football news and job openings. Finalize all components and deploy the system.
Phase 6: Mar 2025 – Apr 2025	Final Deliverables: – Finalized and tested implementation – Final report – Final presentation