Nagendra Kumar

Jul 21, 2024 | medium.com | Nagendra Kumar

Education 5.0 represents a significant shift from traditional education paradigms, focusing on a harmonious blend of advanced technology and personal growth. Unlike its predecessors, which primarily emphasized technological or pedagogical advancements, Education 5.0 seeks to integrate these elements while maintaining a strong emphasis on the individual student.

Jul 21, 2024 | medium.com | Nagendra Kumar

Let us head into Education 5.0 About Us: We are a dynamic, traction-stage startup dedicated to unlocking student potential through innovative learning experiences. Our unique Offline Role Model Program connects students with industry experts, offering invaluable insights and mentorship. We also provide comprehensive progress analyses, ensuring students' growth and development are effectively tracked.

Jul 21, 2024 | medium.com | Nagendra Kumar

Why Python for AI and ML? 1. Simplicity and Readability: Python's clean syntax and readability allow developers to focus on solving problems rather than dealing with complex syntax rules. This simplicity accelerates the development process, which is crucial in rapidly evolving fields like AI and ML. 2. Rich Ecosystem of Libraries: Python boasts a robust collection of libraries tailored for AI and ML.

Jul 21, 2024 | medium.com | Nagendra Kumar

In an era where education often overlooks students' individual needs, Insight Assess stands as a trailblazer, reshaping the future of education in India. Its holistic approach to student development through strategic school partnerships sets Insight Assess apart. At Insight Assess, we recognize that students are unique, possessing their aspirations, strengths, and challenges. This is why Insight Assess provides offline role models who inspire and guide students toward achieving their goals.

Feb 14, 2024 | onlinelibrary.wiley.com | Khushboo Pachori |Amit Prakash |Nagendra Kumar

REFERENCES 1, . 3-D printed microwave and THz devices using polymer jetting techniques. Proc IEEE. 2017; 105(4): 737-755. doi:10.1109/JPROC.2016.2621118 2, , . A review on the design and optimization of antennas using machine learning algorithms and techniques. Int J RF Microw Comput-Aided Eng. 2020; 30(10): 1-7. doi:10.1002/mmce.22356 3, , . Multistage collaborative machine learning and its application to antenna modeling and optimization. IEEE Trans Antennas Propag. 2020; 68(5): 3397-3408.