Dr. Sonal Ayare

https://doi.org/10.64823/ijter.2507010

This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.

https://doi.org/10.64823/ijter.2507008

This paper explores how Multimodal Artificial Intelligence (AI) combines diverse medical data—like images, text, physiological signals, and sensor data—to support real-time healthcare decisions. It highlights how integrating multiple data types enhances diagnostic accuracy, speeds up emergency care, improves surgical precision, and assists in chronic and mental health monitoring. The paper discusses fusion techniques (early, late, and intermediate) and key AI models such as CNNs, RNNs, and Transformers used for processing medical data. Major challenges include data integration, computational demands, privacy, and ethical regulation. Looking forward, it emphasizes the importance of explainable AI, personalized medicine, and the use of emerging technologies like 5G, edge computing, and IoMT (Internet of Medical Things). The conclusion asserts that multimodal AI will revolutionize healthcare by enabling precision medicine, proactive care, and better patient outcomes.

https://doi.org/10.64823/ijter.2507009

Abstract—Augmented Reality (AR) and Virtual Reality (VR) are rapidly emerging as transformative technologies in modern ed- ucation, redefining traditional teaching and learning paradigms. These immersive technologies allow learners to visualize abstract concepts, interact with complex systems, and participate in simulations that are otherwise difficult, dangerous, or costly to perform in physical settings. AR overlays digital content onto real- world environments, enhancing comprehension of theoretical concepts, while VR provides fully immersive virtual spaces where learners can explore scenarios from multiple perspectives. Research indicates that AR/VR integration in ed- ucational settings can enhance student engagement by nearly 40% and improve knowledge retention by up to 35% compared to conventional learning methods.The integration of AR/VR with Artificial Intelligence (AI) enables adaptive learning experiences tailored to individual student needs, providing real-time feedback, personalized learning paths, and intelligent tutoring systems.