This project incorporates computer vision algorithms and real-time gesture recognition to enable participants to navigate through the quiz interface and answer questions using hand gestures.
In the era of virtual interactions, finding innovative ways to engage participants in activities such as quizzes can be exciting. One captivating approach is hosting a virtual quiz without relying on keyboards and mouse but solely utilizing webcams, active internet, and hand gestures. The aim of this project is to provide an innovative and immersive experience for participants, utilizing gesture recognition to answer quiz questions eliminating the need for a keyboard and mouse, and relying on webcam technology and hand gestures for interaction.
The virtual quiz utilizes computer vision algorithms to detect and track hand gestures through participants' webcams. By mapping specific gestures to different quiz actions, participants can select answers and interact with the quiz interface without the need for traditional input devices. Participants are presented with a series of questions displayed on the screen, and they can indicate their chosen answer by making specific hand gestures. Monitor the participants' webcam feeds attentively to identify their hand gestures.
Provide immediate feedback on the accuracy of their responses, indicating whether they are correct or incorrect. Instant feedback is provided after the completion of the quiz, offering explanations and additional information to further educate participants. This feedback mechanism ensures that the quiz serves as an educational tool, promoting a continuous learning experience.
The use of AI in virtual quizzes can enhance the experience by providing personalized learning time-saving quiz generation, instant feedback, and adaptable difficulty. By leveraging webcam technology and hand gestures, this virtual quiz offers a novel and immersive approach to quiz participation. It eliminates the need for traditional input devices, providing a more natural and intuitive interaction method. This innovative concept aims to create a fun and engaging experience for participants, encouraging active participation and knowledge retention through gesture-based interactions.
Submitted by Tamizh Malar S G (Tamizh1004)
Download packets of source code on Coders Packet
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