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| Major Projects | Mini Projects |
| 2013-2017 Batch | 2013-2017 Batch |
| 2014-2018 Batch | 2014-2018 Batch |
| 2015-2019 Batch | 2015-2019 Batch |
| 2016-2020 Batch | 2016-2020 Batch |
Dataset generation using portable devices to develop dl models for eye disease detection
Computer aided diagnosis for eye diseases is receiving a lot of attention from researchers. In order to interpret the diseases directly from a model it needs to be fed using a large set of fundus images under various categories should be included. The datasets that are available are collected from the clinical environment using a high-end opthalmoscope. The scarcity of large publicly available datasets generated from the portable devices has been a bottle neck for the researchers for the successful completion of computer-aided diagnosis. This project designs a portable device that acts as a camera to capture fundus images.
Happiness Index and Mental well-being of students during pandemic using Machine Learning Algorithms
COVID-19 Pandemic Brought significant changes to our daily lives as our movements are restricted in support of efforts to contain and slow down the spread of the virus. Mental illnesses are found in people of different age groups. This study aims to collect the real time data of students from educational institutions through different survey techniques. The dataset is then pre-processed to remove any abnormalities and make it fit for training the machine learning algorithm. Based on the responses given by the students, the happiness index is measured and mental health of the individual is analyzed using machine learning techniques. Through this analysis individuals can understand their state of mind and take timely action.
Determination of happiness index of teachers during Covid
Covid pandemic indirectly impacted people’s mental health conditions, which can be overwhelming but difficult to measure. The level of mental health of a teacher has been found affected with numerous personal as well as professional demands. The proposed model detects any early symptoms of depression in the teachers by detecting the person’s mental state and their happiness level based on the vocabulary they use while answering the questions because when people write, they leave a trace of their mental state.
Color Depiction for daily sounds
The Color Depiction System would aid the elderly and disabled community to identify and react to various common events occurring in their surroundings through light emitted from the Smart Bulbs, when they are lit on activation by surrounding sounds. Some common events being opening the door when someone rings the doorbell, attending to a phone call or to respond to a person, etc.
