Car
- Rental Application using Pega:
- Designed and developed the car rental application using Pega which is used to book the car for the small-scale car rental agency
- It has a dashboard to add the cars, and prices and to edit and check the track of requests for booking as well as the approval and queue
- The user can see the list of cars and the availability of the cars and their prices and can also book them
- I have used the Pega Platform for building this project also the Pega Case management for the workflow implementation, Pega UI for designing the interfaces, and Pega data management for handling the data
- Facial Expression Recognition System using Deep Learning:
- This deep learning project was used to find human facial expressions and recognize human emotions like anger, sadness, surprise, and happiness
- In this project I have used the FER2013 which is the dataset that contains the labeled facial expression images
- For image pre-processing the images are resized for computational constraints and these images are normalized
- For the classifier I have tested the data with the various types of CNN models fine- tuning them and also using the trained and tested data with the various transfer learning models like Reset, and image Net
- Through my CNN model I have achieved an accuracy of 70% in detecting the facial expressions of humans.
