Information Technology

1. LCS AI Automation

Team Members: Dr. J. Akilandeswari (Prof / IT), Mr. A. Naveen Kumar (AP / IT), Ms. D. Komalavalli (AP / IT), Adhithiyan R (Student / IT), Keerthi Kumar S (Student / IT), Vishal V (Student / IT)

Category: Working Model

Abstract:

• Lecture Capturing System (LCS) is employed in the campus for recording and storing lectures accessible anytime.
• AI-powered transcription and keyword-based search with ML for speech recognition, language modelling, and topic extraction.
• Supports keyword-based and question/query-based search, improving accuracy and saving time.
• Enhances accessibility and inclusivity for diverse learners.

Demo Video: Watch Demo

2. Learn Ease

Team Members: Mr. A. Naveenkumar, AP/IT, Brindha S, Student/ADS, Ragul R, Student/IT, Madhan R, Student/ADS, Manikandan S, Student/ADS, Naganathan S, Student/ADS, Siva Suriya S, Student/IT, Vishva Dev S, Student/IT, Vishnu S, Student/IT

Category: Product

Abstract:

• LearnEase is an AI-powered tutor that uses Google's Gemini AI to help users learn by uploading materials, summarizing content, generating questions (MCQs, LOTS, HOTS), supporting multilingual voice interactions, scraping web data, tracking learning history, and ensuring secure access via Firebase authentication.
• This allows for dynamic adjustments to teaching methodologies, including real-time updates, domain-specific insights, and multimodal learning strategies.
• Furthermore, the system identifies and addresses student weaknesses through targeted interventions and adaptive lesson plans, bridging knowledge gaps and promoting a more inclusive and efficient learning process for all students.

Demo Video: Watch Demo

3. Mental Health illness Bot (GEM-MIND)

Team Members: Mr. A. Naveen Kumar, AP/IT, V. Saran, Student/IT, V. Vishal, Student/IT, S. Keerthi Kumar, Student/IT, Mohanapriyan, Student/IT, Krishnamoorthy, Student/IT, Kumaresan, Student/IT, Jayashree Ragavi, Student/IT

Category: Product

Abstract:

• This app utilizes the Google Gemini API to provide AI-powered virtual mental therapy.
• It engages users in personalized and empathetic conversations, offering real-time guidance and coping strategies.
• The app includes interactive exercises to enhance social skills and reduce loneliness and sends reminders for social activities.
• Developed with Flutter, it offers accessible and cross-platform support for a user-friendly mental health experience.

4. VISI-ASSIST

Team Members: Dr. Iyyanar P, ASP/IT, Dr. Subashini R, ASP/IT, Mr. A. Naveenkumar, AP/IT

Category: Working Model

Abstract:

• The project aims to develop a real-time mobile application using machine learning and computer vision to provide visually impaired individuals with detailed scene descriptions, object recognition, and hazard alerts.
• Customizable and user-centric, the application enhances independence, safety, and accessibility, fostering inclusivity and empowerment for the visually impaired community.

Demo Video: Watch Demo

5. Computer Vision-Based Tree Stocking for Forest Conservation

Team Members: Dr. J. Jeba Emilyn, ASP/IT, Huzair Ahmed R, Student/ADS, Eswar Yashwanth Raj R, Student/ADS, Praveen S A, Student/ADS, Poojha M, Student/ADS

Category: Working Model

Abstract:

• This project was initiated with an objective to develop a product capable of analyzing images to identify and count individual trees in a forest area from images/video captured through UAV.
• A prototype has been built and experimented on satellite images and two different sets of drone images.
• Tree identification on drone images has yielded better results compared to satellite images.
• The work on Google Earth 3D images is currently in progress.

Demo Video: Watch Demo

6. Shogi Board

Team Members: Dr. J. Akilandeswari, Prof/IT, Dr. K. Thangaraj, ASP/IT, Shalani B, Student/IT, Thanusuya Sri S, Student/IT, Sooriya M S, Student/ADS, Arivumathi D, Student/IT

Category: Working Model

Abstract:

• Shogi, a renowned Japanese board game, boasts over 3 million active players in Japan. Traditionally played between two opponents on a physical board.
• The Internet of Things (IoT) based Shogi board introduces a new dimension to the game. This innovative concept allows users to play online while still utilizing physical boards.
• This board bridges the gap between the physical and online realms of Shogi, allowing players to compete virtually while using actual physical boards.

7. Digital Voting Portal

Team Members: Dr. J. Jeba Emilyn, ASP/IT, Meiyazhagan B K, Student/ADS, Keerthi Kumar S, Student/IT, Shashmitha Y, Student/ADS, Vishal V, Student/IT

Category: Product

Abstract:

• This platform digitizes voting processes, enabling faster and more transparent decision-making with real-time vote counting.
• It enhances security and fraud prevention through robust encryption and blockchain technology.
• Designed for accessibility across devices, the platform fosters a truly democratic environment by empowering citizens and ensuring equal participation in decision-making.

8. SONA Facility Details

Team Members: Mr. A. Naveenkumar, AP/IT, Adhithiyan R, Student/IT, Harikrishna R, Student/IT, Brindha S, Student/ADS

Category: Product

Abstract:

• The Sona Facility App is a mobile application designed to display and provide information about location-based sustainability facilities, including solar energy systems, rainwater harvesting setups, water recycling systems, and waste management solutions.
• The app allows users to easily identify and access sustainable infrastructure within their vicinity, promoting awareness and encouraging the adoption of eco-friendly practices.
• By leveraging location services, the app offers a user-friendly interface that displays the nearest facilities and provides details such as operational status, installation information, and contact details for maintenance or inquiries.

9. AI Based Yoga Trainer

Team Members: Ms. Lydia D Isaac, AP/ADS, Vijay K, Student/IT, Venika P I, Student/IT, Zeen Sulthana R, Student/IT, Syed Umar Faruq S, Student/IT

Category: Working Model and Product

Abstract:

• In the modern era of remote fitness and wellness, maintaining correct posture during exercises and yoga practices is vital for maximizing the benefits and preventing injuries.
• However, monitoring one's posture can be challenging, often leading to improper form and reduced effectiveness.
• To address this issue, this project presents an innovative real-time posture monitoring system using computer vision and pose estimation techniques.

Demo Video: Watch Demo

10. Medical Image Processing through SYCL/DPC++ using Intel One Libraries

Team Members: Mr. A. Naveenkumar, AP/IT, Kaamal VN, Student/IT, Harshitha MS, Student/IT, Vishal V, Student/IT, Abbijananee M, Student/IT

Category: POC

Abstract:

• Pneumonia is a prevalent respiratory infection that requires accurate and timely diagnosis for effective treatment. In this project, SYCL, a programming model based on standard C++, was utilized for classification of pneumonia in medical image processing.
• SYCL leveraged heterogeneous hardware architectures such as CPUs, GPUs, and FPGAs to optimize classification algorithms for parallel processing, enabling faster and more accurate diagnosis.
• This project was part of the Intel OneAPI Challenge 2023 hosted by Intel and Hack2Skill, and was awarded the Runner-Up position.
• Notable Achievements: Won Runner-Up (₹20k) at Intel OneAPI Hackathon, IISc Bengaluru, demonstrating innovation in healthcare technology.

11. Signners

Team Members: Mr. A. Naveenkumar, AP/IT, Adhithiyan R, Student/IT, Brindha S, Student/ADS, Ragul R, Student/IT, Vishal V, Student/IT, Harikrishna R, Student/IT, Aasima Thanzeem A, Student/IT

Category: POC

Abstract:

• The Signners App empowers individuals with hearing and speech impairments through AI-powered sign language translation.
• It offers real-time sign-to-text and text-to-sign conversion, transcribes YouTube videos into sign language, and summarizes web pages into sign language for improved digital accessibility.

12. Migrant Care

Team Members: Dr. J. Akilandeswari, Prof/IT, Dr. V. Mohanraj, Prof/IT, Mr. M. Murali, AP/IT, Mr. R. Shobankumar, Student/ADS, Mr. S. Harikrishna, Student/IT, Mr. G. Abhindra, Student/IT

Category: Product

Abstract:

• “Migration Safe - Salem City” is a comprehensive mobile-based application designed to maintain detailed records of migrant workers and ensure their safety within Salem City.
• The app is developed based on a request from the Commissioner of Police, Salem.
• The app provides a centralized platform to track the movement, employment details, and health status of migrant workers, offering a secure and organized approach to managing this population.
• By enabling workers to register voluntarily, the application helps local authorities monitor their whereabouts, employment conditions, and any safety-related issues in real time.

13. Digital Profile App

Team Members: Mr. A. Naveen Kumar, AP/IT, R. Harikrishna, Student/IT, R. Adhithiyan, Student/IT, R. Ragul, Student/IT, V. Vishal, Student/IT

Category: Product

Abstract:

• The app is developed based on a request from the Commissioner of Police, Salem.
• The Digital Profile App is a cross-platform mobile application designed to store and track criminal records, offering law enforcement agencies an efficient tool for monitoring individuals with a criminal background.
• The app enables the secure storage of personal information, criminal history, and regular updates on interactions with law enforcement.
• Police officers can enter details of each visit or interaction with the individual, allowing for real-time tracking of their activities and ensuring that authorities maintain accurate and up-to-date records.

14. AgrX Wholesale E-Commerce Mobile App

Team Members: Shoban Kumar R, Student/IT, Preethika S, Student/IT, Thulluru Poojitha, Student/IT

Category: Product

Abstract:

• The problem statement revolves around innovating the methods of refrigeration and cold chain of agricultural products transportation.
• Our team addressed this hardware problem with a software solution integrating Farmers, Retail Buyers, and AI & IoT Powered Logistics called Smart Logistics, resulting in the AgrX E-Commerce Retail Mobile Application that connects farmers with retail buyers.
• AgrX revolutionizes the supply chain by giving farmers complete control over what they sell, how they sell, and how it is transmitted.
• Pre-selling allows farmers to sell even before crops are ready, ensuring transparency and control over price fluctuations and supply-demand balance.
• Notable Achievements: Awarded ₹50k at Refcold Hackathon, Anna University, promoting digital transformation in agricultural trade.

15. Smart India's Intellirrigator

Team Members: Mr. J. Aldo Stalin, AP/IT, Monish P, Student/IT, Jagan B, Student/IT, Perla Madhava Reddy P, Student/IT, Giridharan P, Student/IT

Category: Product

Abstract:

• Smart India's Intellirrigator is an automated irrigation system for piped and micro-irrigation networks like drip irrigation.
• Using real-time soil moisture and weather data, it optimizes water usage and enhances crop productivity. The system adapts to crop-specific needs, dynamically adjusts sensor placement, and offers remote monitoring and control via a user-friendly dashboard.
• It operates in low-network areas using GSM and in high-network areas using Wi-Fi, and it's solar-powered with battery backup.
• Notable Achievements: Recognized at NIRAL Thiruvizha (Tamil Nadu Government) with a ₹10k prize for contributing to sustainable irrigation solutions.

16. On Demand Provisioning of Infrastructure Service to SONA Students from Pooled SONA Resources

Team Members: Dr. V. Mohanraj, Prof/IT, Dr. J. Senthilkumar, Prof/IT, Dr. Y. Suresh, Prof/ADS, Nivethithaa S, Student/IT, Palanisamy K, Student/IT, Priyadarshini N, Student/IT, Ranjith S P, Student/IT

Category: Working Model

Abstract:

• Building a Private Cloud Infrastructure model by utilizing computing resources available in Sona Institutions.
• The model offers access to virtualized resources for students and faculty from their mobiles on-demand, facilitating projects ranging from data analytics to AI models.
• The Private Cloud Infrastructure model is built by customizing Apache CloudStack.
• Manages a larger number of VMs, supports compatibility with different hypervisors, provides APIs for cloud management, and integrates with Amazon EC2 and S3.

17. Wee Biller

Team Members: Mr. A. Naveenkumar, AP/IT, Akil Sadik M H, Student/ADS, Brindha S, Student/ADS, Sowmya R, Student/ADS, Vishva Helina J, Student/ADS

Category: Product

Abstract:

• WeeBiller is an innovative Android application designed to streamline grocery billing processes using advanced speech recognition technology.
• The app aims to provide a user-friendly and efficient solution for grocery stores and small-scale retailers by enabling hands-free, voice-activated billing.
• Notable Achievements: Secured ₹1 lakh at Olimayam 3.0 Bootcamp (Tamil Nadu Government) and ₹50k at Builders Institute Hackathon, Erode.

Demo Video: Watch Demo

18. Sona Know Your Hall

Team Members: Mr. A. Naveen Kumar, AP/IT, R. Harikrishna, Student/IT, G. Abhindra, Student/IT

Category: Working Model and Product

Abstract:

• This mobile application digitizes the exam hall allocation process, eliminating the need for manual updates and printed lists.
• It provides students with real-time access to their exam hall details, enhancing accessibility and convenience.
• The app streamlines administrative tasks, reduces errors, and ensures a well-organized examination environment by minimizing confusion and overcrowding.
• This application is used by the Controller of Examinations to share exam hall information with students.

19. Ensuring Correct Handling of Objects in Industries

Team Members: Mr. A. Naveenkumar, AP/IT, Sneha V, Student/IT, Shobhan Kumar R, Student/ADS, Abhindra G, Student/IT, Ragul R, Student/IT, Brindha S, Student/ADS

Category: Product

Abstract:

• The "Posture Analysis for Safe Lifting" project leverages computer vision technology to analyze body posture during the act of lifting objects.
• Improper lifting techniques are a common cause of injuries, particularly in workplace environments. This system employs real-time posture detection to identify key joint alignments and evaluates whether the lifting posture aligns with ergonomically safe practices.
• By providing immediate feedback on whether the posture is correct or incorrect, the solution enables users to adjust their technique, thereby reducing the risk of injury. Designed for accessibility and ease of use, this system has potential applications in workplace safety training, gyms, and rehabilitation centers, promoting long-term health and safety.
• Notable Achievements: Secured 2nd place (₹15k) at IIT Madras Hackathon, showcasing advancements in automation and sports analytics.

Demo Video: Watch Demo

20. Augmented Reality Based Natural Interactive Learning

Team Members: Dr. J. Jeba Emilyn, ASP/IT, Mr. S. David Samuel Azariya, AP/IT, Mr. J. L. Aldo Stalin, AP/IT, Ms. D. Komalavalli, AP/IT

Category: Working Model

Abstract:

• This project develops an interactive AR 3D T-Box that enables users to create and manipulate physical sand landscapes while receiving real-time digital enhancements.
• The system generates accurate topographic models and overlays visualizations like elevation maps and water flow simulations, enhancing understanding of terrain variations and hydrological processes.
• This engaging tool serves as an educational platform for teaching fundamental concepts in geography, geology, and hydrology in classrooms, museums, and research institutions.

21. Ball Pitch Detection

Team Members: Mr. A. Naveenkumar, AP/IT, Sneha V, Student/IT, Shobhan Kumar R, Student/ADS, Abhindra G, Student/IT, Ragul R, Student/IT, Brindha S, Student/ADS

Category: POC

Abstract:

• The "Ball Pitch Detection" project is designed to analyze ball trajectories in sports videos, identifying the quadrant where the ball is pitched and determining the precise timeframe of the event.
• Utilizing OpenCV for quadrant mapping and trajectory tracking, the system accurately detects key movement patterns in real-time. A novel pitch detection logic forms the core of this solution, leveraging the lowest angle between consecutive movement points to pinpoint the exact pitching moment.
• This approach ensures high precision and adaptability across varying speeds and angles, making it a valuable tool for sports analytics, coaching, and performance enhancement.
• Notable Achievements: Secured 2nd place (₹15k) at IIT Madras Hackathon, showcasing advancements in automation and sports analytics.

22. Knowledge Portal

Team Members: Dr. J. Akilandeswari, Prof/IT, Mr. A. Naveenkumar, AP/IT, Shobhan Kumar R, Student/ADS, Mohanapriya T, Student/ADS, Mohsin Taj M, Student/ADS, Lizzy Angelin Alphonsa G, Student/ADS, Shrushtiga S R, Student/ADS

Category: Product

Abstract:

• Knowledge Portal is a multimedia platform for educators to track and share their professional development activities (events, workshops, etc.).
• It allows users to post achievements with multimedia attachments, offers sorting features, and includes an admin panel for management to track staff progress, manage programs, and export data.
• The platform also offers profile customization options.

23. Brain Computer Interface for Home Appliances

Team Members: Dr. V. Mohanraj, Prof/IT, Mr. S. David Samuel Azariya, AP/IT

Category: Working Model

Abstract:

• Brain Computer Interface (BCI) focuses on establishing the symbiotic relation between human brain and artificial intelligence. BCI enables users to directly communicate with a computer by means of brain activity.
• With advancements in BCI technology, disabled people can control home appliances through their brain activity without depending on a caretaker.
• In this project, an EMOTIV EPOC 14+ sensor device is used to acquire RAW EEG data from a disabled person and feed it to the built model for pre-processing and prediction. The proposed model has achieved high prediction accuracy with minimal error.

24. Vee Trace APP

Team Members: Dr. J. Akilandeswari, Prof/IT, Mr. A. Naveenkumar, AP/IT

Category: Working Model and Product

Abstract:

• In response to a call by Prime Minister Narendra Modi for solutions to check the spread of the deadly Covid-19, the engineering students of Sona College of Technology, Salem and engineers of Vee Technologies, Bengaluru have created two apps.
• The first, ‘Corona-Scan’, proactively allows public health officials to map individuals who were in close proximity with a possibly infected or active Covid-19 patient.
• The second, ‘Corona-Support’, asks the public for voluntary registration. If an individual tests positive, a voluntary status update can be entered in the app, helping health authorities track the spread of the virus accurately.
• The ‘Corona-Support’ app is intended to be of immense value to anyone wishing to protect the community from further spread.

Demo Video: Watch Demo

25. Sona Navigation Project

Team Members: Dr. J. Akilandeswari, Prof/IT, Dr. P. Iyyanar, ASP/IT, Mr. A. Naveenkumar, AP/IT

Category: Product

Abstract:

• Development of a machine vision-based navigation system designed to assist visually impaired and challenged individuals in navigating customized locations with greater independence.
• The system incorporates a mobile application compatible with both Android and iOS devices, enabling real-time image processing to detect obstacles and provide guidance.
• By processing image data in real time, the system helps users avoid obstacles, identify landmarks, and enhance their mobility within specific environments.
• The proposed solution aims to improve the quality of life for visually impaired individuals, providing them with a reliable tool for autonomous movement and better access to their surroundings.

Demo Video: Watch Demo