About the project

• Spin-over is an autonomous rover designed to follow humans based on their movement.
• Basic idea of the rover gets the input from the camera of the rover and transport image data through USB bus to raspberry pi.
• A python program gathers image data (Real time video), Using pretrained model called YOLO V3 Where it detects human movements and gives the commands (left, right, forward, backward) to the motor drivers through raspberry pi.
• It tracks and follows a human through the Computer Vision (CV) technology.
• This rover is an Artificial Intelligence (AI) powered autonomous vehicle in which the CV technology itself is supported by the Convolutional Neural Network (CNN) which is a familiar neural structure used in Deep Learning technology.
• This rover is just a TIER-1 prototype and it will be upgraded further for remote area analysis.

About the Project

Inspired by the science of learning, the player learns concepts, clarifies their understanding and also develops speed in applying the concepts in this gameplay. Game learns the player's current level of understanding based on choices made and game complexity is varied to balance the engagement and difficulty level of the game. Simple learning games can be built using any interactive activity framework. Description: Concepts in the Games are expected to be tagged to Nipun Bharat (Foundational Literacy and Numeracy) and NCERT Learning outcome registry (as applicable), DIKSHA telemetry specifications and need to be tagged to relevant NCERT textbooks using DIKSHA dial framework, Games can choose to use DIKSHA's ECML content framework for interactive content and could leverage robotics, digital toys to add Interactivity, engagement and sophistication. Team can develop relevant plugins for NDEAR DIKSHA content development studio to enhance the interactive experience of game play and contribute to opensource community. More enhanced games could explore multiplayer environments, and leveraging AI/ML to induce engagement and challenge. By carrying out real time analysis, proficiency of users can be made available on dashboard leveraging the NDEAR data framework and tools such as cube leveraging the learning outcome Tags and proficiency demonstrated by gamers. Games could provide either a PC app, or phone or web-UI based experience.

About the Project

About the Project

prototype

About the Project

prototype

About the Project

Introduction Gamification incorporates game design elements into education and training, offering engaging approaches for learners. It utilizes points, badges, simulations, and games to create immersive experiences and enhance motivation. Gamification provides clear goals, feedback, and collaboration opportunities, promoting achievement and critical thinking. Successful implementation involves aligning game mechanics with learning objectives and providing meaningful rewards. Result and Discussion Recent research emphasizes the potential of technology in enhancing education through gamification. Machine learning predicts advertising effectiveness, personalizes learning experiences, and gamification frameworks. Cloud computing enables real-time feedback and socialization, improving the accuracy of academic performance prediction. Virtual reality and gamification create immersive environments for skill development. Data analytics monitor progress and identify effective strategies while addressing negative impacts.. Integration of technology leads to innovative interventions and positive outcomes, but data privacy and ethical considerations must be addressed. Methodology The project aims to develop a gamified AI learning system that enhances coding skills based on IQ. It begins with designing game mechanics, including the Q&A System and difficulty level adjustment. The AI system is trained using diverse data sources to analyze player IQ and gameplay strategy.

Tailored feedback is provided, allowing retries until mastery. A machine learning algorithm dynamically adjusts difficulty, generates custom challenges, and offers real-time feedback. The game covers various questions, providing a comprehensive learning experience. Progress is saved for convenient resumption. System architecture Output Question set

Game Board Conclusion Gamification and visualization-based education tools effectively enhance learning outcomes, especially in machine learning education. However, deploying cloud-assisted gamification requires addressing data privacy, security, and interoperability concerns. Careful assessment of risks and limitations is crucial for cloud computing and gamification. Implementing gamification in education improves student motivation and academic performance, requiring seamless integration and effective pedagogical strategies. Augmented Reality (AR) technology and AR-based gamification techniques offer transformative tools that can positively impact industries and society

About the Project