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Scout Fintech Hack

Inspiration

We wanted to create a platform that helps users research stocks efficiently by providing sentiment analysis and relevant insights. Our goal was to simplify stock research by aggregating useful data in an intuitive interface.

What it does

Scout allows users to:

• Search for stocks and access relevant information.
• View sentiment analysis to gauge market perception.
• Research stocks without needing an account.
• Log in to access a personalized experience.

How we built it

We built Scout using:

• Frontend: React.js for a dynamic and responsive user interface.
• Backend: Node.js with Express to handle API requests.
• Database: MySQL for managing user accounts and preferences.
• Sentiment Analysis: Integrated APIs to provide insights on stock sentiment.
• Deployment: Hosted using AWS services for scalability and reliability.

Challenges we ran into

• Implementing accurate and useful sentiment analysis.
• Ensuring fast and efficient stock data retrieval.
• Creating a seamless user experience with a clean UI.
• Handling authentication securely while maintaining a smooth flow.

Accomplishments that we're proud of

• Successfully integrating sentiment analysis to provide stock insights.
• Building a fast and intuitive platform for stock research.
• Implementing a secure and efficient authentication system.

What we learned

• Working with sentiment analysis APIs to interpret stock market trends.
• Optimizing database queries for better performance.
• Enhancing UI/UX to improve usability and engagement.

What's next for Scout

• Expanding sentiment analysis with more data sources.
• Adding real-time stock price updates.
• Implementing advanced filtering and search options.
• Enhancing mobile responsiveness and performance optimizations.

Built With

• css
• express.js
• html
• javascript
• mysql
• node.js
• python
• react.js