Escape Room
1. Translated and developed a VR game from a traditional escape room game utilizing Oculus and Unity
2. Created a 3D interactive environment providing physical interaction for teleportation and grabbing objects
3. Performed UI testing on 6% of the users for accuracy, timing and qualitative feedback
Chest Disease detection using Deep learning
1. Implemented a neural network-based model to detect if a patient has chest disease(s) or not through the categorization of diseases
2. Performed deep learning using TensorFlow and Keras to enhance the disease prediction on NIH Chest X-ray dataset
3. Utilized TPU hardware to implement the project and achieved a testing accuracy of 98.82%
VBank
1. Developed a website for Bank management system to perform day-to-day banking tasks
2. Utilized C for front-end and middleware and MySQL for backend computations
3. Implemented SSL protocol for securing the application
ZinggSuit
1. Conceptualized and developed a fun-game
2. It is hosted on Google Play Store
Personal Mirror
1. Designed an augmented mirror interface acting as a large touch display with elegant design, useful features and functionalities
2. Utilized HTML5, CSS3, P5.js, Typescript, and Angular.js to develop the personal mirror interface
3. Applied ‘Golden rules and principles of interface design’ for designing the interface
Electroencephalography signal classification
1. Designed ANN, SVM and Ensemble classifiers to identify facial expression and emotion
2. Captured electroencephalography signals using Emotiv Insight device
3. Utilized Python and Matlab for data preprocessing and designing the classifiers
ASIS Lang
1. Developed a general purpose, high level, syntax irrelevant, loosely typed and machine independent programming language using JS and PHP
Some of the special characteristics of this language are:
1. Exhibits better performance while handling massive amount of data
2. Can handle complex mathematical operations with ease
3. Provides better readability and controllability while dealing with the kernel
H. Kulkarni, B. Kumbham and J. J. S. Mani, "Multiclass Classification to Predict the Level of Storm and Damages Using Support Vector Machine," 2018 Fourteenth International Conference on Information Processing (ICINPRO), Bangalore, India, 2018, pp. 1-5, doi: 10.1109/ICINPRO43533.2018.9096705.
MS SQL
Oracle SQL
Amazon Redshift
AWS
AdobeXD
Git
Splunk
Jenkins
Microsoft Dynamics
VersionOne
SDLC
Scaled Agile (SAFe)
Kanban