NewsBites
AI-powered news summarization platform that delivered concise, informative summaries of important news stories. This project was completed as my senior capstone at Neumont College of Computer Science in December 2024.
Project Overview
NewsBites is an AI-powered news aggregation and summarization platform built to help users stay informed without information overload. The platform uses advanced natural language processing to extract key information from articles and present it in a concise, easy-to-digest format.
Using a combination of local Llama models, third-party AI providers (Anthropic and OpenAI), and integration with a third-party news aggregator, NewsBites provides high-quality summaries with topic categorization and personalized feeds. The platform processes thousands of articles daily and uses advanced prefetching and caching to achieve ultra-low latency. I've optimized costs by choosing the right LLM for each task, while keeping the output quality high.
This project was developed as part of my Neumont College senior capstone, showcasing skills in full-stack development, AI integration, and scalable cloud architecture.
Key Features
AI-Powered Summaries
Articles are automatically summarized using advanced NLP models, extracting the most relevant information while preserving context and key details.
Customized News Feeds
Users can build personalized news feeds by interacting with an LLM that uses tool calling to create a tailored news experience based on preferences.
Topic Categorization
Stories are automatically categorized into relevant topics, making it easy to browse news that matters to you.
Ultra-Low Latency
Advanced prefetching, caching techniques, and optimized prompt engineering deliver summaries with average response times of 100ms or less, with only occasional outliers.