ACADEMIC PROJECTS:
1.CUSTOMER CHURN PREDICTION
(A comparative analysis of Long Short-Term Memory, Random Forest, and Feedforward
Neural network Models)
➢ Project Description: This project involves a comparative analysis of three machine learning
models - Long Short-Term Memory (LSTM), Random Forest, and Feedforward Neural
Networks - applied to predict customer churn, evaluating their performance and
effectiveness in forecasting customer attrition. Additionally, a simple website is
implemented to demonstrate the practical application of these models, allowing
users to input customer data and receive churn predictions.
Front End: HTML, CSS (for web application).
IDE: Visual Studio 2010.
Back End: Python, Flask.
2.ROBOTIC VEHICLE CONTROLLED VIA IOT TECHNOLOGY (Main project)
➢ Project Description: System controls the robotic vehicle from a remote area by using an
android application with the concept of internet of things (IOT). It also finds application in
areas like huge turbines.
Front End: ASP.NET (for web application).
IDE: Eclipse, Visual Studio 2010, Code Vision AVR.
Back End: SQL server 2008.
3. SMART SHOPPING APP WITH ADVANCED QR CODE TECHNIQUE (Mini project)
➢ Project Description: System recognizes QR code image using an android application in the
smart phones to provide various services. It makes the shopping easier and provides a better
role for customer.
Front End: ASP.NET (for web application).
IDE: Visual Studio 2010, Eclipse.
Back End: SQL Server 2008.
Nationality: Indian
Visa Status: Skilled worker Dependant Visa
Valid Until: May, 2027