NewScribe

Inspiration

Our journey with NewScribe began with a simple observation that left us puzzled: whenever major news broke, the stock market seemed to react dramatically, but we couldn't quite grasp why. As a group of students with limited knowledge about stocks and investing, we found ourselves constantly intrigued by the connection between world events and market fluctuations. This curiosity sparked an idea: what if we could create a platform that helps others like us understand this relationship?

What We Learned

Through developing NewScribe, we've gained invaluable insights into the intricate relationship between news and stock prices. We've learned how to analyze financial articles and extract key information, grasped the basics of stock market trends and patterns, discovered the power of AI in summarizing complex financial data, and recognized the importance of practical, scenario-based learning in finance education.

How We Built It

NewScribe consists of several key components working in harmony. We developed an algorithm to scrape and filter relevant financial news articles from reputable sources. This is paired with real-time and historical stock data integration to provide context to the news. At the heart of NewScribe is our AI-powered summarizer, a machine-learning model that analyzes 3-day stock trends and generates concise summaries. We also implemented a sentiment analysis feature that evaluates the emotional tone of each article, helping users understand the potential market impact of news beyond just the facts. To enhance user engagement and learning, we created an interactive quiz generator that presents hypothetical scenarios based on real market events, challenging users to predict potential market reactions. All of this is presented through an intuitive, responsive web interface that seamlessly combines news articles, stock data, AI summaries, sentiment analysis, and quizzes,

Challenges We Faced

The development of NewScribe wasn't without its challenges. Synchronizing real-time news with corresponding stock data proved more complex than anticipated, requiring careful API management and data validation. Integrating an AI model that could accurately summarize stock trends and generate relevant quizzes was a significant hurdle, requiring multiple iterations and fine-tuning. Ensuring the accuracy of our curated news and its correlation with stock movements required implementing rigorous fact-checking processes.