Category Archives: Uncategorized

A Context-Aware Mobile Application For Tourist Guidance: Integrating Location-Based Recommendations, Route Optimization, And Service Discovery

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Authors: Assistant Professor Sangeeta Mohapatra, Kartik Biradar, Tushar Malwade, Aryan Lanke

Abstract: In today’s mobile-centric era, travelers increasingly rely on real-time, personalized information to enhance their tourism experiences. This paper presents the design and implementation of a context-aware mobile application that recommends nearby tourist attractions, optimizes visitation routes, and provides detailed information about local accommodations and dining options. Building on recent advancements in mobile computing, route optimization, and context-aware systems, our work details the system’s architecture, data acquisition methods, hybrid recommendation engine, and routing algorithms. Experimental results demonstrate improvements in route efficiency and recommendation accuracy while maintaining real-time responsiveness. The paper also discusses potential enhancements using machine learning techniques and further integration with urban data streams.

 

 

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Supervised Vs Unsupervised Learning: A Comparative Study In Fraud Detection

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Authors: vijaya Sawant

Abstract: Fraud detection has become a critical area of concern across industries, with increasing volumes of online transactions and evolving cyber threats. Machine Learning (ML) models play a vital role in identifying fraudulent activities. This study explores a comparative analysis of supervised and unsupervised learning approaches in fraud detection. Supervised models, relying on labeled data, offer high accuracy, while unsupervised models excel in anomaly detection, capable of identifying previously unseen fraud patterns. This paper discusses their applications, advantages, challenges, and suggests hybrid approaches to optimize fraud detection systems.

 

 

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Virtual Mouse Using Hand Gesture

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Authors: Professor Swati Bagade, Dr. Anamika Jain, Sakshi Patil, Shivani Shivshette, Lavanya Sharma, Disha Shirsat

Abstract: The concept of virtual mouse using hand gesture is touch free input device . It replace traditional mouse. The proposed interface aims to create a more intuitive and seamless interaction between users and their devices by leveraging the natural movements of the hand. This innovative approach has the potential to enhance user experience and interaction efficiency in various applications, including virtual environments and gesture- based control systems. The paper explores the technical aspects, challenges, and future possibilities for implementing the hand mouse interface with computer system and enhance human-computer interference.

 

 

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Domain Specific Opportunities

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Authors: Assistant Professor Sangeeta Mohapatra, Mayur Madkholkar, Kiran Londhe, Virag Khade, Priya Manjare, Anushka Jachak

Abstract: This paper explores the development of a mobile and web application designed to centralize notifications and updates about hackathons, tech fests, and other technology-related opportunities for students. The goal is to address challenges students face in discovering relevant events and staying updated on deadlines and registration dates by aggregating data from multiple sources into one platform. By integrating information from various organizers, the solution streamlines event discovery and enhances convenience. Using a mixed-methods approach, including technical analysis and user experience testing, the study finds that the platform improves event discovery efficiency, user satisfaction, and connects students with specialized career opportunities in fields like AI, cybersecurity, and blockchain.

 

 

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Ruthless Drop – Menstrual Cycle Tracking Application

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Authors: Assistant Professor Manisha Wasnik, Parth Pawar, Sarthak Divate, Prajwal Salunkhe, Shivendra Kale

Abstract: Menstruation plays an important role in a woman's life and mostly on the human race all over the world .Menstruation cannot be avoided till menopause so some way should be there to avoid the painful effects of menstruation , although the pain caused also cannot be avoided but can be aided with use of sanitary pads .But use of sanitary pad also depends on when it is used , it cannot be placed every day the individual should know when she has to apply it that is before the menstruation occurs and not after the menstruation puts stain on individuals clothes . Here the role of menstruation cycle tracking application comes into action where tracking menstruation cycle would assist in approximately know the days when to apply the sanitary pad. There hasn’t been much research done on the most important topic, so it’s really difficult to judge if the menstruation cycle tracking apps have any negative insights on the individual’s health. most of the women, manually mark the dates on the calendar which is a good real time method but the kind of accuracy and precision which is achieved on the application cannot be achieved on a physical calendar

 

 

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Augmented Reality : Models For Architectural Progression

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Authors: Assistant Professor Yashanjali Sisodia, Amol Hipparkar, Shivam Singh

Abstract: The summary shows that user features such as preferring to use the interface can lead to effective use of the interface. Research also points out that there is a relationship between learner preferences and creativity. Vark Learning Styles Inventory uses this study to assess students' learning styles and examines how this learning preferences affect the use of augmented reality (AR) and virtual reality (VR) in creative design

 

 

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ApplincesHub

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Authors: Professor Swati Bagade, Shubham Pandhare, Piyush Sakhare, Nidhish Patil, Nikhil Soni

Abstract: The AppliancesHUB project developed an Android mobile application directed towards disrupting the appliance renting market. It quickly connects customers with rental stores around them for fast, cheap, and safe renting. The app uses location services, user accounts, and instant advertisement of the appliances to make it less complicated to access the rental services and to increase business transactions. Through this platform, consumers can rent appliances or furniture with ease, and local rental companies are able to gain more clients and more effectively manage the rentals. The application is developed using Google Maps API for location based listings, Flask-SQLAlchemy for backend services, and Android Studio (Java/Kotlin) for application development. AppliancesHUB from the study serves the purpose of creating a seamless renting experience while having a lower cost, safer, and environmentally friendly alternative to traditional ownership.

 

 

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EchoSense: A Survey On Dual-Modality Assistive Systems For The Blind And Deaf

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Authors: Dr. Nandini C,, Jayant Rajendra Habbu, Midhun Manoj,, Moulya R Hegde, Prerana A J

 

 

Abstract: In recent years, assistive technologies for visually and hearing-impaired individuals have predominantly focused on single-modality solutions, limiting their effectiveness for users with dual sensory impairments. This paper proposes EchoSense, a novel mobile-based assistive system integrating real-time visual scene interpretation and personalized sound detection enhanced with emotion recognition. Through a comprehensive survey of recent literature encompassing scene captioning, sound classification, emotion detection, and explainable AI, key limitations such as lack of multi-modality, minimal personalization, and dependence on cloud-based processing are identified. EchoSense addresses these gaps by offering an on-device, privacy-preserving, and offline-capable platform that delivers adaptive multimodal feedback tailored to blind, deaf, and deaf-blind users. The paper details the system’s conceptual framework, design considerations, and methodology, laying the groundwork for future implementation and evaluation.

DOI: http://doi.org/

 

 

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SkyLens- Weather App

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Authors: Assistant Professor Sangeeta Mohapatra, Shreyash Khaladkar, Subodh Marathe, Mayur Chaudhari, Shravani Nanaware, Avinash Mule

Abstract: SkyLens is a perfect companion for checking the weather before heading out. By leveraging artificial intelligence and machine learning, it delivers highly accurate forecasts, helping users make informed decisions about outdoor plans, travel, and safety during extreme weather conditions.The app’s real-time notification system enhances the user experience by providing instant alerts for weather changes. SkyLens offers real-time weather updates specific to your location, delivering precise forecasts for the current day and the days ahead. Its intuitive interface presents essential information such as temperature, humidity, wind speed, and rainfall, along with severe weather warnings, personalized notifications, and sustainability tips.

 

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Advanced DSTATCOM Control For Grid Code-Compliant Voltage Stability In Renewable-Penetrated Networks

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Authors: Nikhil Kumar Khemaria, Vinay Kumar Pathak

 

 

Abstract: One of the fundamental issues in wind vitality era is the association with the network. Infusion of wind force into the lattice influences the force quality bringing about poor execution of the framework. The wind vitality framework confronts as often as possible fluctuating voltage because of the way of wind and presentation of music into the framework. The impact of the wind turbine in the lattice framework concerning the force quality estimations are-the dynamic force, receptive force, variety of voltage, gleam, sounds, and electrical conduct of exchanging operation and these are measured by worldwide rules indicated in International Electro-specialized Commission standard, IEC-61400.

DOI: http://doi.org/

 

 

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