AI in Gaming

Authors

  • Prof. Madhuri Manohar Dharanguttikar  Computer Engineering Department (SKNSITS), Savitribai Phule Pune University, Pune, Maharashtra, India
  • Tushar Bharadwaj  Computer Engineering Department (SKNSITS), Savitribai Phule Pune University, Pune, Maharashtra, India
  • Mohammed Bhuranpurwala  Computer Engineering Department (SKNSITS), Savitribai Phule Pune University, Pune, Maharashtra, India
  • Tarun Jain  Computer Engineering Department (SKNSITS), Savitribai Phule Pune University, Pune, Maharashtra, India
  • Aditya Patil  Computer Engineering Department (SKNSITS), Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Abstract

The proposed will be a computer game version of a popular game Mario. Instead of having a single player like in Mario our system has 2 players. where both the players are controlled by user therefore making it a two-player game. This adds more functionality and more diversity to a game. The game use artificial intelligence to create enemies and helps to make the game more challenging. The end goal of the game is that both the players need to complete the level together

References

  1. Bhattacharya, Shubhobrata, et al. "Smart Attendance Monitoring System (SAMS): A Face Recognition Based Attendance System for Classroom Environment." 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), 13 Aug. 2018, doi:10.1109/icalt.2018.00090.
  2. Gupta, Sujit Kumar, et al. "CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System." 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), 13 Aug. 2018, doi:10.1109/icalt.2018.00131.
  3. Y.Bengio,I.J.Goodfellow,andA.Courville,"Deeplearning,"Nature, vol. 521, pp. 436–444, 2015.
  4. Samet, Re?k, and Muhammed Tanriverdi. "Face Recognition-Based Mobile Automatic Classroom Attendance Management System," 2017 International Conference on Cyberworlds (CW), pp. 253-256. IEEE, 2017.
  5. Jayant, Nazare Kanchan, and Surekha Borra. "Attendance Management System Using Hybrid Face Recognition Techniques," In Advances in Signal Processing (CASP), pp. 412-417. IEEE, 2016.
  6. http://vis-www.cs.umass.edu/fddb/fddb.pdf
  7. https://arxiv.org/pdf/1502.00046.pdf

Downloads

Published

2019-04-06

Issue

Section

Research Articles

How to Cite

[1]
Prof. Madhuri Manohar Dharanguttikar, Tushar Bharadwaj, Mohammed Bhuranpurwala, Tarun Jain, Aditya Patil, " AI in Gaming, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 7, pp.96-98, March-April-2019.