Pandit G -AI Powered Astrology and Palmistry Assistant

References

[1] Asthana, N., & Bhargava, R. (2021). Application of Deep Learning Models for Palm-line Feature Extraction in Biometric and Palmistry Systems. International Journal of Computer Vision and Pattern Recognition, 12(2), 45–57.

[2] Lahiri, N. C. (1994). Tables of Ayanamsa. Indian Astronomical Society. (Used for sidereal astrology calculations.)

[3] Meeus, J. (1998). Astronomical Algorithms (2nd ed.). Willmann–Bell, Inc. (Primary reference for planetary position calculations.)

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[5] Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. Proceedings of MICCAI, 234–241. (Core model used for palm line segmentation.)

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[7] Vaswani, A. et al. (2017). Attention is All You Need. Advances in Neural Information Processing Systems (NeurIPS), 5998–6008. (Foundation of transformer-based NLP used in Dhirendra AI.)

[8] Swiss Ephemeris. (2023). High Precision Ephemeris. Astrodienst AG. https://www.astro.com/swisseph (Reference model for planetary calculations.)

[9] NASA JPL. (2022). Solar System Dynamics: Planetary Positions and Ephemeris. Jet Propulsion Laboratory. https://ssd.jpl.nasa.gov (Used for validating astronomical calculations.)

[10] Patel, R., & Kulkarni, S. (2019). Natural Language Understanding for Contextual Chatbots: A Review. International Journal of Artificial Intelligence Research, 8(3), 78–93.

[11] Priyanka, M., & Ramesh, K. (2020). Mobile Application Frameworks for AI–based Predictive Systems. International Journal of Mobile Computing, 6(1), 54–69.

[12] Sharma, A. (2017). A Complete Guide to Vedic Astrology. New Age Books. (Reference text for astrological interpretations and dasha systems.)

[13] Zhang, X., & Lin, H. (2021). Explainable AI Techniques in Personalized Prediction Models. ACM Computing Surveys, 53(4), 1–34.

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@article{1712413,
      author = {Prof. Ajinkya Hangargekar, Ankit Jadhav, Diksha Hawale, Ashutoush Kamble, Kunal Gujare},
      title = {Pandit G -AI Powered Astrology and Palmistry Assistant},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {2111-2120},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712413.pdf},
      abstract = {Pandit G is an AI-driven horoscope and palmistry analysis system that combines machine learning, computer vision, astronomical computation, and natural language processing to deliver structured astrological guidance. Traditional astrology applications rely on predefined text outputs without personalization, while palmistry remains an unorganized domain without computational automation. Pandit G introduces an integrated AI pipeline capable of extracting palm features, computing planetary positions through ephemeris models, generating Vedic astrology predictions, and interacting through a conversational AI agent named Dhirendra AI. This manuscript presents the motivation, literature survey, system architecture, implementation methodology, testing, results, and real-world scope of the Pandit G system. Flowcharts, ASCII block diagrams, and structured sections follow the International Research and Engineering (IRE) manuscript style.},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1712413}
  }