P Krishnaiah’s scientific contributions

As an author, the description of an article on Outcome-Based Education (OBE), which is a revolutionary method of creating, carrying out, and assessing educational initiatives. The main goal of this policy paradigm is to outline precise, quantifiable learning objectives that students should have attained by the time they complete their education. OBE, in contrast to conventional input-oriented methodologies, places an emphasis on the intended outcomes of education, encouraging a student-centered approach and coordinating curriculum with societal and professional demands. The main ideas and consequences of outcome-based education strategies are examined in this article. It starts by outlining the core ideas of Open and Distance Education (OBE), including the integration of real-world applications, ongoing evaluation, and clarity in learning objectives. The transition to competency-based frameworks is examined, highlighting the significance of students gaining the practical skills and competences necessary for success as authors in addition to information.

Today every person is directly or indirectly communicating with AI tools. Artificial Intelligence (AI) tools have revolutionized various aspects of our daily lives and industries, offering unprecedented capabilities in automation, data analysis, and decision-making. In fact users/people are getting addicted to AI tools and losing their ability to use their brains properly. AI tools are very convenient while using them, but once we/the public give up communication, it can seem passive. This entitle articles expose the concepts of the merits and demerits while using AI tools frequently. The aim of the authors is the aware of the public if they are frequently utilizing the AI tools.

Now a day, as a human living in the society is very difficulty with facing many insecure situations in the society. Addressing targeted social security issues using deep learning techniques is a complex task that requires careful planning and implementation. Deep learning can be a powerful tool to analyze and predict various social security-related problems, such as fraud detection, benefit eligibility determination, and resource allocation. Using deep learning for targeted social security issues is a long-term effort, and it's essential to continuously update and improve the models to stay ahead of evolving challenges. Additionally, always prioritize data security, privacy, and ethical considerations throughout the process. In this emphasize of the entitle work Fraud detection using deep learning is a valuable application of artificial intelligence and machine learning techniques to identify and prevent fraudulent activities in various domains, such as finance, e-commerce, healthcare, and more. Deep learning models, which are a subset of machine learning, can be particularly effective for fraud detection due to their ability to automatically learn complex patterns and features from data.

As an author of this article myself found there is a path in our Indian constitution regarding Article forty five (45) in Directive precept of kingdom coverage (DPSP), which states that every one ought to be equally reachable for education. Since the training is in Concurrent list, the nation has to comply with the middle's training, but it is not mandatory. Now the primary education for kids under the age of 6 to fourteen years has turn out to be the fundamental right underneath Article 21A. The country wide training coverage has made many new educational interventions consisting of the Mid-day meal scheme, Sarva Siksha Abhiyan, NavodayaVidyalas, KendriyaVidyalayas, and so forth. This national training policy specializes in bringing adjustments in the traditional training sample in college and better schooling. The countrywide training policy 2020 has been authorized by way of the union cabinet headed by way of PM Shri. Narendra Modi. Therefore replacing the old country wide schooling coverage, that's 34 years old, to benefit globally aggressive. The policy is nicely framed with five important key areas together with accessibility, equality, exceptional, affordability, and accountability. The United Nations Sustainable improvement 2030 schedule has set a benchmark for the country wide schooling coverage. The countrywide schooling policy is converting the Indian instructional system right into a globally aggressive education machine with the desired flexibility. The multi-disciplinary issue of the countrywide instructional coverage turns into a stepping stone for boosting college students' competencies. Aim of this article is how India's expands their employment globally based on implemented Indian's new educational policy.