ZenSphere

Designed With 😇 :

• Flask
• JavaScript
• Py
• React
• TypeScript

ZenSphere is an AI-powered spiritual guide designed to provide personalized astrological insights based guidance, and spiritual content tailored to the user’s birth details. It offers features like Kundali generation, gemstone recommendations, rituals.

This platform simplifies complex astrological concepts, making spiritual practices more accessible and practical for modern users. Its AI-driven approach enhances traditional astrology with real-time, actionable recommendations.

GitHub Link 🔗

• https://github.com/glitch1410/ZenSphere_prod

Deploy Link 🔗

• https://zen-sphere-prod.vercel.app/

Problem it solves 🙅‍♂️

• Traditional astrology services often require significant time and expertise to generate accurate insights. Users seeking spiritual guidance also face challenges in accessing tailored advice and actionable suggestions for improving their daily lives. ZenSphere solves this by: Automating Kundali generation insights. Offering personalized recommendations like gemstones, rituals. Enabling real-time, data-driven spiritual advice for better decision-making.

Challenges I ran into 🙅‍♂️

• Challenge: Integrating accurate astrological algorithms with AI models like GPT while ensuring cultural relevance and precision. Solution: Extensive research into astrology frameworks and customizing AI outputs for astrological accuracy. Challenge: Managing the large-scale storage and fast querying of user data for personalized recommendations. Solution: Leveraging DataStax Astra DB to handle scalable, efficient data storage and retrieval. Challenge: Ensuring a seamless user experience with intuitive input fields and visually appealing charts. Solution: Designing the frontend using React with a focus on user-centric design principles.