Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition
Doodle.AI is an innovative web-based game that takes creativity, guessing, and artificial intelligence and puts them together in a great combination. It is both an entertaining and educational game, enabling players to enhance their creativity and guessing skills while exploring AI capabilities inte...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | Systems and Soft Computing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941925000791 |
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| _version_ | 1849471209435037696 |
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| author | Ishan Panta Biplov Paneru Bishwash Paneru Bipul Thapa |
| author_facet | Ishan Panta Biplov Paneru Bishwash Paneru Bipul Thapa |
| author_sort | Ishan Panta |
| collection | DOAJ |
| description | Doodle.AI is an innovative web-based game that takes creativity, guessing, and artificial intelligence and puts them together in a great combination. It is both an entertaining and educational game, enabling players to enhance their creativity and guessing skills while exploring AI capabilities interactively. The participants draw random words as they compete with an artificial intelligence model, which predicts drawings in real time. The AI component not only adds challenge and thrill but also demonstrates the capability of machine learning in interactive gaming. To create a highly precise doodle recognizer, a Long-term Recurrent Convolutional Network (LRCN) was employed, and it proved to be much better than the typical Convolutional Neural Networks (CNNs). The LRCN model achieved 90 % accuracy in the top-1 score and 97 % in the top-3 score, which is a measure of its high level of prediction. Relative to CNNs, which were overfitting (training loss: 36 %, validation loss: 53 %), LRCN demonstrated a substantial learning curve, stabilizing at a final loss of 39 %, thereby offering better resilience. Furthermore, LRCN outperformed CNN, and therefore particularly has been found useful in dynamic gaming conditions. Doodle.AI is more than just for fun, providing interesting commentary on the domain of AI-based sketch recognition and the viability of deep learning algorithms in real time. The wide variety of categories and questions in the game makes it an enjoyable experience, as users are challenged to sharpen their creativity and intellectual skills while engaging with advanced AI technologies. |
| format | Article |
| id | doaj-art-245abef229404ac4bb50e3757c97da95 |
| institution | Kabale University |
| issn | 2772-9419 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Systems and Soft Computing |
| spelling | doaj-art-245abef229404ac4bb50e3757c97da952025-08-20T03:24:55ZengElsevierSystems and Soft Computing2772-94192025-12-01720026110.1016/j.sasc.2025.200261Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognitionIshan Panta0Biplov Paneru1Bishwash Paneru2Bipul Thapa3Department of computer science and Engineering, Kathmandu University, NepalDepartment of Electronics and Communication Engineering, Nepal Engineering College affiliated to Pokhara University, Nepal; Corresponding author.Department of Applied Sciences and Chemical Engineering, Institute of Engineering, Tribhuvan University, NepalDepartment of Computer Science and Engineering, Kathmandu University, Dhulikhel, NepalDoodle.AI is an innovative web-based game that takes creativity, guessing, and artificial intelligence and puts them together in a great combination. It is both an entertaining and educational game, enabling players to enhance their creativity and guessing skills while exploring AI capabilities interactively. The participants draw random words as they compete with an artificial intelligence model, which predicts drawings in real time. The AI component not only adds challenge and thrill but also demonstrates the capability of machine learning in interactive gaming. To create a highly precise doodle recognizer, a Long-term Recurrent Convolutional Network (LRCN) was employed, and it proved to be much better than the typical Convolutional Neural Networks (CNNs). The LRCN model achieved 90 % accuracy in the top-1 score and 97 % in the top-3 score, which is a measure of its high level of prediction. Relative to CNNs, which were overfitting (training loss: 36 %, validation loss: 53 %), LRCN demonstrated a substantial learning curve, stabilizing at a final loss of 39 %, thereby offering better resilience. Furthermore, LRCN outperformed CNN, and therefore particularly has been found useful in dynamic gaming conditions. Doodle.AI is more than just for fun, providing interesting commentary on the domain of AI-based sketch recognition and the viability of deep learning algorithms in real time. The wide variety of categories and questions in the game makes it an enjoyable experience, as users are challenged to sharpen their creativity and intellectual skills while engaging with advanced AI technologies.http://www.sciencedirect.com/science/article/pii/S2772941925000791Machine learningLong-term recurrent convolutional networkOnline gamePattern recognition |
| spellingShingle | Ishan Panta Biplov Paneru Bishwash Paneru Bipul Thapa Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition Systems and Soft Computing Machine learning Long-term recurrent convolutional network Online game Pattern recognition |
| title | Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition |
| title_full | Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition |
| title_fullStr | Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition |
| title_full_unstemmed | Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition |
| title_short | Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition |
| title_sort | doodle ai redefining creative play with human ai competition in real time doodle recognition |
| topic | Machine learning Long-term recurrent convolutional network Online game Pattern recognition |
| url | http://www.sciencedirect.com/science/article/pii/S2772941925000791 |
| work_keys_str_mv | AT ishanpanta doodleairedefiningcreativeplaywithhumanaicompetitioninrealtimedoodlerecognition AT biplovpaneru doodleairedefiningcreativeplaywithhumanaicompetitioninrealtimedoodlerecognition AT bishwashpaneru doodleairedefiningcreativeplaywithhumanaicompetitioninrealtimedoodlerecognition AT bipulthapa doodleairedefiningcreativeplaywithhumanaicompetitioninrealtimedoodlerecognition |