The AI Trend Analysis Dashboard is a web application designed to provide real-time insights into the rapidly evolving world of artificial intelligence. It aggregates data from various sources, including GitHub repositories, news articles, and market data, to identify emerging trends, track key performance indicators, and facilitate informed decision-making.
As the lead developer and AI trend analyst, I was responsible for the end-to-end development of the dashboard, including data collection, analysis, front-end development, and AI-powered insights generation.
Real-time Trend Analysis: Identifies and tracks emerging AI trends based on GitHub activity, news mentions, and market data.
Data Aggregation: Collects data from multiple sources, including GitHub, news APIs, and market data providers.
AI-Powered Insights: Generates AI-driven summaries, predictions, and recommendations using Google's Gemini API.
Interactive Visualizations: Presents data through interactive charts and graphs for easy understanding.
Prediction Market: Allows users to make predictions about emerging trends and earn rewards.
Community Forum: Provides a platform for users to discuss AI trends and share insights.
Customizable Settings: Allows users to personalize their experience and track specific topics of interest.
The AI Trend Analysis Dashboard has become an essential tool for AI researchers, investors, and enthusiasts looking to stay ahead of the curve in the rapidly evolving AI landscape. The platform has demonstrated the importance of data quality and consistency in AI-driven applications, the power of AI models for generating insights, and the value of user-centered design in creating compelling data visualizations.