The research team consisting of Dr Manjula R, Assistant Professor from the Department of Computer Science and Engineering and her students, Mr Adi Vishnu Avula, Mr Abdul Jawad Khan, Mr Chiranjeevi Thota and Ms Kavyanjali Munipalle has published their patent titled “System For Determining And Predicting Scattering Coefficients Of Myocardium Tissue In Near-Infrared-Band For In-Vivo Communications” in the Indian Patent Office with the Application no: 202441090535.

Their research harnesses the power of machine learning and near-infrared (NIR) technology to analyse myocardium tissue with unmatched precision. By predicting scattering coefficients using advanced models like Gradient Boosting and Artificial Neural Networks (ANN), this breakthrough enables non-invasive diagnostics, early detection of heart conditions, and enhanced medical imaging. From 6G-enabled smart hospitals to regenerative medicine, this technology is set to transform healthcare.

With this groundbreaking invention, Dr Manjula and her research team pave the way for the future of connected, intelligent cardiac care!

In a rapidly changing educational landscape, innovative solutions are key to enhancing learning experiences. Ms Naga Sravanti’s patent on A System for Implementing a Peer Tutoring Platform, introduces a blockchain-based peer tutoring platform designed to tackle challenges in traditional education.

As we explore the implementation and societal implications of this platform, its potential to democratise education and create valuable connections among learners worldwide becomes evident. Join us in examining this innovative approach and its promising future research directions.

Abstract

This research presents a blockchain-based peer tutoring platform designed to enhance the quality and accessibility of education. By utilising blockchain’s decentralized and transparent features, the system ensures secure transactions, reliable certification, and the equitable management of peer tutoring activities. The platform aims to foster trust among users by recording all interactions and achievements on an immutable ledger, addressing critical challenges like data manipulation, lack of accountability, and accessibility issues in traditional education systems.

Explanation in Layperson’s Terms

Imagine a platform where students can teach and learn from each other without worrying about unfair practices or lack of credibility. This system uses blockchain, a technology that keeps records safe and transparent so that everyone can trust it. For instance, when a student tutors someone else, the system records this in a way that no one can alter. Certificates issued for achievements are also tamper-proof, making them reliable for future use. It’s like having a digital notebook that no one can tear a page from or erase anything written in it. This platform creates a fair and secure space where students and educators can collaborate effectively.

Practical Implementation and Social Implications

The peer tutoring platform has immense potential to revolutionise education:

Equity in Education: Students from diverse backgrounds can access quality tutoring at affordable costs or through a mutual exchange of knowledge.

Trust and Credibility: Blockchain’s secure system ensures that all records of learning and certifications are genuine and cannot be tampered with.

Recognition of Effort: Tutors can build verified portfolios showcasing their expertise and contributions, which can be used for job opportunities or further education.

Global Collaboration: Learners and educators worldwide can connect, exchange knowledge, and grow together, breaking geographical barriers.

Collaborations

This research has benefited from partnerships with educational institutions, blockchain developers, and organizations promoting innovative learning methodologies. Collaborators include academic peers at SRM University-AP and technical support from blockchain technology firms specializing in educational applications.

Future Research Plans

Building on this work, the following directions will be explored:

• Gamified Learning: Introducing game-like features to make learning more engaging and interactive.
• AI-Driven Personalization: Integrating AI to recommend the best tutors and resources for individual learners based on their unique needs.
• Scalability: Expanding the platform to accommodate millions of users globally without compromising speed or security.
• Real-World Deployments: Partnering with schools, universities, and governments to implement the system on a larger scale, bringing tangible benefits to communities.

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