Embedded Files
Thrust Areas
Thrust Areas
Vision AI
Detection of Cervical Cancer from MobileOTD images
Improvising Grading of Smart Colposcopy Images
Adaptive Learning 1.0
AI based model curriculum for Nursery Schools
AI based model curriculum for Primary Schools
Technology Enabled Learning
Mulsemedia based Learning
Game based Learning
Hypermedia Learning
Immersive Learning
Personalized Learning
Completed Projects -PG (2022-2023)
1.Technology Enhanced Mulsemedia Learning for Enhancing Quality of Experience
The Main Motivation of the Mulsemedia model is for enriching e-learning. In this project, it is a new perspective to achieve the model “TECHNOLOGY ENHANCED MULSEMEDIA LEARNING FOR ENHANCING QUALITY OF EXPERIENCE”, through the integration of devices like olfactory ultrasonic Humidifier, Cooling fan, haptics and Galvanic Skin Response.
Ms.V.Suvetha II MCA Department of Computer Science.
2.Tamil Voice Based Educational Bot
The Main Objective of this Project is to design a convenient android application for the children of age 8-10 years in remote area. This help to learn about basic computer content in Native Language.
Ms.Divyasri S II M.Sc. CS Department of Computer Science.
3.Prediction of Blood Brain Barrier Permeability using Graph Neural Networks
Predicting the Blood-Brain Barrier Permeability using Graph Neural Networks.
Ms.Pooja Sri Saraswathi A II MCA Department of Computer Science.
4.Forecasting Oxidative Coupling of Methane
Develop a Predictive Model that Predicts the ethylene composition from the catalysis dataset.
Ms.Kamalini D II MCA Department of Computer Science.
5.Iridology based Early Diabetic Classification using Machine Learning Methods
The main objective of the proposed work is to pre-diagnise the diabetes conditon by an alternative study of Iridology with the help of Machine learning techniques.
Ms.Anandha Nayaki J II MCA Department of Computer Science.
6.Machine Learning based Infant Body Mass Index (BMI) Prediction through Real-Time Facial Images
The Proposed system is to develop a mobile application for infant BMI prediction using Machine Learning techniques.
Ms.Jeeva N II MCA Department of Computer Science.
7.Segmentation of Overlapping Cells from Microscopic Images of Sickle Cell Anaemia
The Proposed method is to identify and separate overlapped cells from a blood smear image and identify the sickle cell count that can aid in the diagnosis and management of sickle cell anaemia.
Ms.Preetha N II MCA Department of Computer Science
8.Community Health Monitoring Application
The development of a mobile application that assists health assistants to detect diseases and diagnose in the earlier stage. It is proposed to further enhance the feature of the Thaimai app and it focuses on improving the wellbeing of the people who are surviving in the rural community.
Ms.R.Chakkaravarthini II MCA Department of Computer Science
9.Institution e-Governance Hostel Application
The Hostel Application is designed to Provide a computerized process for Hostel Admission , Room allocation and Easy fee payment.
Ms.C.Kamali II M.Sc. CS Department of Computer Science.
10.Institution e-Governance Leave Application
The Proposed system will be used to maintain leave application and their approvals easily. With the help of this system staff can apply leave online, department head can approve/reject and escalate to higher levels, they update the staff leave requests. Once they approved / rejected the leave requests, it will automatically be updated to the respective staff.
Ms.N.Shalini II MCA Department of Computer Science
11.Evaluation of Machine Learning Algorithms For multiclass classification Using N Gram Categorization
Enable organizations to organize all texts,emails,legal papers,database, and other paperwork efficiently. Effective in a wide range of text analytics applications where word sequences are important, including sentiment analysis,text,Categorization, and text production.
Ms.R.Logavathani I MCA Department of Computer Science.
12.Community Health Nursing Application
Community health Nursing is the synthesis of nursing and public health practice applied to promote and protect the health of people who live in rural areas.
Ms.P.Surya I MCA Department of Computer Science
13.Community Health Worker
The health worker application is majorly used by both health worker male and female to maintain records and data which has to be stored.The health worker app is majorly used for bringing the importance of health care in rural areas and to the uneducated people who do not have any idea of health care.
R.K.Keerthana I MCA Department of Computer Science.
14.Community DAI
The DAI is an important person in Rural Areas to protect Pregnant women and children of Rural Areas. The DAI is very important in Rural Areas to take care of new born child and pregnant women.
Ms.J.Sona Steffi I MCA Department of Computer Science.
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