Soul-Buddy-CodeCommandos

Designed With 😇 :

• Cassandra
• Flask
• Github
• Postman
• React
• Tailwind
• TypeScript
• Vite

SoulBuddy is an AI-driven platform that provides personalized spiritual guidance based on astrology and numerology. SoulBuddy helps its user in following ways:

• Generate 'Kundli' with user given information.
• Gain deeper insights into various life dimensions, including career, relationships, personal growth, family and social connections.
• Daily & Monthly Horoscope Updates: Stay informed about your astrological influences with real-time daily horoscope predictions.
• Astrological Recommendations:
• Gemstone Suggestions: Receive scientifically backed gemstone recommendations, carefully aligned to enhance your luck, health, and success.
• Rituals (Poojas) Recommendations: Discover poojas and rituals ideal for you, complete with explanations of their importance and benefits, fostering spiritual harmony and well-being.
• Lifestyle Guidance: Personalized do’s and don’ts rooted in astrological insights to navigate life's challenges effectively.
• Interactive AI Chatbot: real-time, natural language chatbot is your spiritual companion, provides instant explanations and personalized advice, ensuring clarity and understanding in your spiritual journey.
• Holistic Well-Being Suggestions: Receive meditation techniques, pranayama (breathing exercises), and tailored workout suggestions designed to align your physical, mental, and spiritual energy.

Why Choose SoulBuddy?

SoulBuddy isn’t just a spiritual guide—it’s a holistic wellness partner. It integrates ancient wisdom with modern AI technology to bring a personalized, user-friendly, and comprehensive spiritual experience. Whether you seek answers to life's challenges, wish to optimize your well-being, or desire spiritual growth, SoulBuddy is your go-to platform for enlightenment and self-discovery.

GitHub Link 🔗

• https://github.com/toshit-dh/supermind-final-hackathon

Deploy Link 🔗

• https://supermind-final-hackathon-l00ldgmhh-toshits-projects.vercel.app/

Problem it solves 🙅‍♂️

• There are numerous software solutions available for generating Kundali, horoscopes, and offering astrological guidance. However, SoulBuddy takes this experience to the next level by providing a comprehensive and personalized spiritual journey. Beyond standard astrology, SoulBuddy offers tailored gemstone recommendations, rituals, and detailed explanations of their benefits to help users align with positive energies. To enhance personal well-being, SoulBuddy provides customized lifestyle guidance, including actionable do’s and don’ts, empowering users to lead a balanced and fulfilling life. By deeply understanding the user’s unique persona, the app delivers personalized workout plans, meditation techniques, and pranayama practices, fostering harmony in mental, physical, and spiritual health. The standout feature is its AI-driven chatbot, a constant spiritual companion available anytime to address queries, offer advice, and navigate users through their spiritual challenges. SoulBuddy ensures users receive not just guidance, but a holistic and transformative approach to their spiritual and personal well-being.

Challenges I ran into 🙅‍♂️

• The need for real-time horoscope generation, Kundali creation, and chatbot interactions posed challenges for system performance and backend optimization. Ensuring the accuracy of predictions, recommendations, and the overall functionality of the platform was a meticulous task. Throughout the project, we encountered several challenges, particularly with data scraping. Despite dedicating significant time and effort to perfecting the scraping process, we were unable to achieve satisfactory results. As a result, we decided to manually input the data into the Astra DB to ensure the project progressed smoothly. Additionally, we faced difficulties with Langflow, particularly during the data entry and chunk collection stages. The system was not processing the data as expected, which led to delays. However, we were able to resolve this issue by reformatting the data, converting it from JSON to CSV, and re-entering it into the system, which ultimately improved the process.