Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2024
Supervisor
Khawaja Abdul Hafeez, Visiting Faculty, Department of Computer Science
Keywords
web scraping, OCR, RAG-based LLM, Qdrant, AI chatbot
Abstract
PSX-Announc develops an automated system to scrape, process, and summarize announcements from the Pakistan Stock Exchange (PSX). It combines web scraping, OCR for image-based PDFs, LLM model for generating summaries, and RAG-based language models to generate context-specific chatbot for financial and corporate disclosures. A vector database enables efficient document indexing and retrieval.
The front-end features a chatbot interface for searching announcements by company symbol, date, or category, providing detailed information. The project is designed for continuous operation during trading hours. The system provides real-time insights and efficient handling of financial announcements and documents, enhancing accessibility for stock market stakeholders.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Khan, M. (2024). PSX-Announc: Chatbot Plus Real-Time AI Summaries (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/55
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