Transforming Healthcare: Medical Image Analysis through AI, ML, and
Data Science
Dr. Karishma Raut
Abstract
Medical Image Analysis plays a pivotal role in modern healthcare by extracting critical
insights from imaging modalities such as X-rays, MRIs, CT scans, and ultrasounds. It
significantly aids in diagnosis, treatment planning, and monitoring disease progression
by advancing the accuracy and efficiency of image interpretation through computational
techniques.
Keywords
Medical Image Analysis, AI in Healthcare, Machine Learning, Data Science.
Blockchain Technology and Its Applications
Prof. Devyani Gawade
Abstract
The main objective of this Review manuscript is to describe the summary of literature on
various execution of blockchain technology, similarly some computerized ledger-based
techniques in different fields beyond the bounds of its applications to digital currency
and to extract the valid conclusions. The Blockchain technology gaining popularity in
last ten years and now increasing more and more in different areas like healthcare, IOT,
Cryptocurrency etc. Different types of Blockchain technology usage and some techniques
used in which, different applications, inspection of various security and privacy
related issues are main focus of the review study.
Keywords
Blockchain Technology, Cryptocurrency, Decentralized Ledger, Peer-to-Peer Network.
Serverless Edge Computing: The Next Evolution in Distributed Systems
Prof. Minakshi Vikas Gaonkar
Abstract
What if your application could scale instantly, run anywhere, and respond to events
within milliseconds—without ever managing a server? That’s not a futuristic dream; it's
the promise of Serverless Edge Computing, the next major milestone in the evolution of
distributed systems.
Keywords
Serverless Computing, Edge Computing, Distributed Systems, Cloud Computing.
Beyond the Human Eye: Intelligent Detection Systems with Deep Learning
Vivek Sapkale
Abstract
In an era dominated by rapid technological advancement, the ability to detect and
respond to real-world scenarios using intelligent systems has become a necessity.
Traditional monitoring systems, dependent on human oversight, often fall short in speed,
accuracy, and scalability. Deep learning and artificial intelligence (AI) are now
enabling machines to “see” far beyond the human eye—interpreting scenes, detecting
anomalies, and making real-time decisions with incredible efficiency.
Keywords
Intelligent Detection Systems, Deep Learning, Artificial Intelligence, Real-time
Detection.
UI/UX Designing and Execution : A Complete Guide to Process
Prof. Pranita P. Redkar
Abstract
In today's digital-first world, where almost all business products are accessed through
mobile applications or websites, design has become a crucial part. It is not just about
making the product look good; it's about crafting experiences that are exceptionally
impressive yet user-friendly (i.e., making the product easy to navigate). It involves
creating a seamless, impactful, and captivating experience from research to launch.
Keywords
UI/UX Design, User Experience (UX), User Interface (UI), Digital Design Process,
User-Centric Design.
The Evolution of Connectivity: From 5G to 6G and the Rise of Digital
Twins
Mrs. Aasmi Jugari
Abstract
The past decade has witnessed unprecedented growth in wireless communication
technologies. The rollout of 5G networks has transformed how we interact with digital
systems, enabling high-speed data transfer and ultra-low latency. As technology
advances, the focus has shifted toward 6G, promising intelligent, autonomous, and
immersive digital experiences. A significant innovation is the concept of Digital
Twins—virtual replicas of physical systems that simulate, predict, and optimize
real-world processes.
Keywords
5G/6G Networks, Digital Twins, Wireless Communication, IoT Ecosystems, Connectivity
Revolution.
Technology as a Tool, Not a Master: How Technology Is Changing Human
Behavior
Prof. Aasmi Jugari
Abstract
Technology has become an integral part of contemporary life, shaping how individuals
communicate, work, learn, and interact with the world. While technological advancements
have significantly improved efficiency and convenience, they have also begun to
influence human behavior in profound ways. This raises an important concern: while
technology should serve as a tool to support human progress, it must not become a
controlling force that dictates behavior and decision-making.
Keywords
Technological Advancements, Human Behavior, Digital Devices, Automation, Technology
Ethics.
Graph Algorithms in Social Network Analysis
Prof. Sona Bhoir
Abstract
Social networking platforms have become central to modern communication, generating vast
amounts of interconnected data daily. Social Network Analysis (SNA) addresses the
challenge of analyzing these relationships by modeling social systems as graphs, where
users are represented as nodes and relationships as edges. Graph algorithms play a
crucial role in extracting meaningful insights, such as identifying influential users,
detecting communities, and improving recommendation systems.
Keywords
Social Network Analysis (SNA), Graph Algorithms, Community Detection, Network Modeling,
Information Flow.
Digital Detox: Why It’s Time to Switch Off
Prof. Apurva Anand Jadhav
Abstract
We live in a world where screens surround us at every moment—phones, laptops, TVs, and
tablets. While digital tools make life easier, they have also made us more restless,
distracted, and less connected with the real world. A "Digital Detox" is a short break
from technology to rest the mind and reconnect with real-life experiences, learning to
use gadgets wisely and making space for peace and focus.
Keywords
Digital Detox, Screen Time, Mental Well-being, Mindful Technology Use, Connectivity.
Real-Time Data Analytics Using Apache Kafka and Spark
Prof. Sona Bhoir
Abstract
This paper explores the implementation of real-time data analytics pipelines using
Apache Kafka for data ingestion and Apache Spark for stream processing. With the
exponential growth of big data, the ability to process and analyze information as it
arrives has become critical for businesses. We discuss the architecture, scalability,
and common use cases of this powerful combination in handling high-velocity data
streams.
Keywords
Real-Time Analytics, Apache Kafka, Apache Spark, Big Data, Stream Processing.