ProjectS

Webcrawler source code (Python & mysql)

1. WebCrawler Using Python & MYSQL: This project involved using a deep web source, in this case TripAdvisor. The data was crawled and organized in a relational database. And the crawler extended to other similar domains.

Course Hub App (Java )

2. Android Application for finding mentors within university network: Working with a group of 2 people, we designed and built an app to help find mentors within the university network. The app had 7 pages, including login, search functionality, finding location of the person, ability to start a video call, and going to a paid experience using paypal.

Defect detection of structural health monitoring of microwave & Ultrasonic Signal

3. Encrypt & Decrypt of Credit card Information of Shopping Website: In this project, a shopping website was built which has Login, Add to Cart, Checkout. It checks if the credit card number is valid or not using Luhn Algorithm. It also keeps user data private via encryption and safely stores it in a database.

#5 Web Interface: I have implemented Bootstrap 4 framework files, jQuery library, feather.js icon library, chart.js plot library, PHP Mailer library, Starter implementation including all critical views.

#6 The Toy-ACAN project (Synergy3++) in C:- In this project, we have done the following implementation : Tuple Space implementation including netlib, include and user application API based on the Tuple Space tester Integrated myShell (lsh.c, Steve Brannon's Open Source implementation).

#7 Comparison of kNN, GMM random forest and support vector machines approaches: For the data set you have selected, compare classification performance using the kNN, random forest and support vector machines approaches. Use the MATLAB tools to implement these classifiers. Produce a table comparing performance for all these classifiers.

#8 Predict Stock market analysis - The obtained results showed that the proposed model has better prediction accuracy and the potential of PSO (Particle swarm optimization) algorithm in optimizing LS-SVM( Support vector Machine).