When I began my final year project to create a retrieval-augmented financial analysis chatbot for Malaysian markets, I needed a technology stack that could handle both the sophisticated backend processing and deliver a smooth, professional user experience. My solution combined Python with Flask on the backend and leveraged modern CSS and JavaScript techniques for the…

The field of artificial intelligence has seen remarkable growth in recent years, but a persistent challenge has been the Western-centric nature of many leading models. As someone who recently completed a project implementing a financial analysis chatbot for Malaysian markets, I discovered firsthand the limitations of general-purpose LLMs when applied to our unique regional context.…

Integrating Chunking Strategies with Pinecone Vector Databases on EC2 Infrastructure: A Technical Deep Dive This section presents a comprehensive analysis of a distributed web scraping and data processing pipeline implemented for financial document analysis. The system combines advanced chunking strategies, Pinecone’s vector database capabilities, and Amazon EC2’s scalable compute resources to handle large-scale financial datasets. …

The evolution of web scraping technologies as has revolutionized academic research in financial markets, enabling large-scale data acquisition from disparate sources. This section  presents a technical deep dive into a financial research project that transitioned from S&P Capital IQ’s S&P 500 dataset to Bursa Malaysia and Kenanga Investment Bank data, while implementing an Amazon S3-based…