
Rosary College of Commerce & Arts
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Recent Submissions
Smart Crowd Detection and Management System
(ASST. PROF. ANKITA FALLDESSAI, 2026) DIAS CHRIS FRANCO; MEVIN QUADROS; SAHEEL SHAIKH; SAIESHWAR MALKARNEKAR; YASH SATISH BHANDARI
Crowd crushes and stampedes are tragic yet preventable incidents. The tragedy during the RCB celebration at M. Chinnaswamy Stadium highlighted the consequences of inadequate crowd monitoring.
Smart Crowd Detection and Management System is designed to address this issue through an AI- powered, real-time surveillance system. The system uses a Raspberry Pi 5 integrated with a camera module to run two AI models: YOLOv11n for crowd counting and density estimation, and YOLOv8 Pose for fall detection.
When abnormal conditions such as overcrowding or falls are detected, the system instantly alerts security personnel through a Flutter-based mobile application. Alerts include geolocation data via Google Maps and automated voice calls using Twilio.
The solution is real-time, cost-effective, scalable, and suitable for deployment in public venues such as stadiums, railway stations, malls, and festivals.
RFID Enabled Quick Medical Information Retrieval System
(ASST. PROF. ANKITA FALLDESSAI, 2026) ANDREA VIRGINA RODRIGUES; JUVEN CHAIM D’SILVA; JUVENCY SANYA FERNANDES; NIVEDITHA PANICKER; SWAGI LOURDES COUTINHO
Healthcare institutions require fast, reliable, and secure access to patient medical records to ensure accurate diagnosis and effective treatment. Traditional paper-based record management systems are often inefficient, prone to human error, and time-consuming, especially during emergencies where immediate access to patient history is critical.
The proposed system presents a smart healthcare solution that integrates RFID technology with cloud-based data management and a mobile application platform to streamline patient identification and medical record access. Each patient is assigned a unique RFID card, enabling quick identification and instant retrieval of medical history. The system ensures secure, role-based access for administrators, doctors, and patients, thereby maintaining data privacy and integrity.
The solution leverages real-time cloud synchronization to store and update patient records efficiently. Medical professionals can access, update, and manage patient information seamlessly, while patients can securely view their medical history through a mobile interface. The system reduces paperwork, minimizes record retrieval time, enhances operational efficiency, and improves the overall quality of healthcare service delivery.
This project demonstrates the practical application of IoT and cloud computing technologies in modern healthcare environments and provides a scalable, secure, and cost-effective alternative to conventional record management systems.
LOCATION-BASED MOBILE APPLICATION FOR AUTOMOTIVE AND HOME SERVICES
(ASST.PROF. VICIBILA ANTAO, 2026) AIDAN VIVIAN BRITTO; MAVERICK JORGE FERNANDES; NOEL ANTHONY FERNANDES; PIYUSH SANJAY NAIK; LEROY ERNESTO FALEIRO
A Location-Based Mobile Application for Automotive and Home Services app was created by our team to facilitate the process of locating trustworthy and timely assistance for pressing home and car problems. The app offers real-time service provider availability, secure customer profiles, category-based service discovery for plumbers, mechanics, and other professionals, as well as live tracking of a service request's progress from acceptance to completion. The interface dynamically filters out inactive providers with an emphasis on user trust, guaranteeing that clients only see experts who are available and prepared to respond. The prototype, which uses a Flutter frontend and Firebase backend, features an interactive map view for location based discovery, a clean user interface that displays business hours and ratings, and a dynamic service list that verifies provider availability in real-time. The application's overall goals are to lessen friction in emergency situations, increase consumer confidence through transparency, and establish a trustworthy environment where clients and nearby service providers can interact with confidence.
MOBILE APPLICATION TO ASSIST INDIVIDUALS WITH PARTIAL DISABILITY
(ASST. PROF. VICIBILA ANTAO, 2026) ELSTAL SALVADOR FERNANADES; FLANN PLESTON CRASTO; JERICO FERNANDES; NASIR NAFEES SAYED; VELRON CARVALHO
The Mobile Application to Assist Individuals with Partial Disability was created to Support
Partially Disabled people. This application is designed to assist the partially disabled
individuals to engage in their daily life and take part in their communities with a lot of ease.
It also provides user and institution-based onboarding, enables users to authenticate with
profiles, is a real-time chat, and provides a curated workflow to submit and approve events.
Accessibility features are also provided as high-contrast mode and adjustable text scaling
which allows the user to customize their experience. Our front-end was Flutter and Firebase
was used as our backend. The prototype demonstrates the simplicity of the sign-up process,
real-time synchronization, and administrative features that ensure quality of content and
safety of users. In general, the application is designed to reduce obstacles, establish a level of
trust and provide an inclusive environment in which users, institutions, and administrators
may engage and share opportunities without fear.
Web Application for Fitness Tracking
(ASST. PROF. ANVI NAIK, 2026) NITIN AJIT NAIK; VAIGAN FERNANDES; ANAS SHAH; CAYDEN VALANKO DIAS; STANCIO NORONHA
“Web Application for Fitness Tracking” was developed to simplify and enhance the way
individuals manage their fitness routines and dietary habits. The system provides users with
personalized calorie calculations, structured workout tracking, customized diet planning, and
real-time progress monitoring within a single integrated platform. By allowing users to
record exercises, set fitness goals, and monitor nutritional intake, the application promotes
consistency and informed decision-making.
With a strong focus on usability and data accuracy, the platform ensures secure user
authentication and organized profile management. Interactive dashboards visually present
workout history, calorie consumption, and performance trends, enabling users to clearly
understand their progress over time. The system dynamically updates recommendations
based on user inputs such as age, weight, height, and fitness objectives, ensuring tailored
guidance for goals like weight loss, muscle gain, or maintenance.
Built using a modern web-based architecture with a responsive frontend and a secure
backend supported by a structured database, the prototype emphasizes reliability, scalability,
and user engagement. The overall objective of the application is to reduce manual tracking
efforts, increase motivation through visualization and automation, and create a dependable
digital environment where users can confidently manage and improve their health and fitness
journey.