AIRLINES RESERVATION SYSTEM (May-June 2014): The project was developed individually at HP Educational Services, Kanpur, India as part of the course Java 2 Enterprise Edition Struts with Hibernate Framework. It featured a simpler version of modern-day Airline Reservation Systems. The project deployed the following technologies:
- Java 2 Enterprise Edition - Java Server Pages and Servlets
- MySQL Database
- Glassfish Server
- Adobe Dreamweaver 30 days Trial Software
OPERATING SYSTEM SCHEDULING ALGORITHMS SIMULATOR (November - December 2014): The project was developed, with 5 team members, as part of Operating Systems Course in 3rd Semester of IIIT-Allahabad. The project simulated various OS Scheduling Algorithms like Round Robin, SJF, etc. The project deployed following technologies:
- Java SE - mainly Java Swing
- Text to Speech Synthesis Library - provided better Human-Computer Interaction
TENDER MANAGEMENT SYSTEM (March-April 2015): The project was developed, with 4 team members, as part of Database Systems Course in 4th Semester of IIIT-Allahabad. The project featured a TMS system similar to present-day Public Works Department TMS. The project deployed the following technologies:
- MySQL Database
STATIC HAND GESTURE RECOGNITION USING REINFORCEMENT LEARNING (August - December 2015): The project was developed, with 5 team members, as a semester project in 5th semester of IIIT-Allahabad. The project was deployed in pure python.
SPEAKER RECOGNITION USING CONVOLUTIONAL DEEP BELIEF NETWORKS (February - May 2016): The project was developed, with 5 team members, as a semester project in 6th semester of IIIT-Allahabad. The project deployed the following technologies:
- Scientific Python stack like Python 2.7, Theano, Numpy, Matplotlib, etc
- CUDA with CuDNNv4
FACE RECOGNITION USING EIGENFACES, FISHERFACES, AND SUPPORT VECTOR MACHINES (February - May 2016): This project was developed, with 5 team members, as part of Image and Vision Processing course in 6th semester of IIIT-Allahabad. The project deployed R programming language and scientific python with the usage of scikit-learn library for machine learning.
FACIAL KEY POINTS DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK - NAIMISHNET (June - July 2016): This project was developed individually at the Department of Analytical Information Systems and Business Intelligence, University of Paderborn, Germany as part of 2 months summer internship. The project deployed scientific python with deep learning libraries like keras with theano backend. With my deep learning model, I could secure 18th rank on Kaggle leaderboard in Facial Key Points Detection Challenge. A Paper, planned to get published in International journal is under writing.