Inspiration Our project is inspired by the competition theme, "Space," and fueled by our passion for traditional culture and astrology. We aim to bring the wisdom of Zi Wei Dou Shu (Purple Star Astrology) into the digital age, providing users with personalized insights through advanced technology.
What it does The platform generates a Zi Wei Dou Shu astrological chart based on user input and utilizes AI to offer interpretations. It includes forecasts, personality analysis, and practical life advice, all tailored to each individual.
How we built it We developed the platform using React components to create a web page that generates the user’s Zi Wei Dou Shu chart. Another HTML-based page leverages the GPT API to analyze and interpret the user's fortune, providing insights based on the chart.
Challenges we ran into Algorithm Complexity and Accuracy: The Zi Wei Dou Shu algorithm is intricate, involving factors like star placements, houses, and transformations. Achieving accurate charting required deep research and testing. Interpretation Diversity and Depth: Each chart variation demands unique interpretations, posing a challenge to provide meaningful, personalized insights. We built a modular rule library to diversify our interpretations. Front-End Layout and User Experience: Displaying the complex chart in a user-friendly format was challenging. Using Figma, we designed and tested multiple layouts to ensure users could easily view and understand their chart. Accomplishments that we're proud of We successfully implemented all the core functions, including generating the Zi Wei Dou Shu chart and providing AI-powered interpretations. Additionally, we are proud of the seamless user experience and visually appealing interface we achieved.
What we learned Throughout this project, we deepened our understanding of the Zi Wei Dou Shu algorithm and honed our skills in API integration, enhancing both the technical and interpretive aspects of the platform.
What's next for Purple Star Astrology Our next step is to further improve the visual appeal of the interface and increase the depth of analysis, providing users with an even richer and more personalized experience.
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