Welcome To My Repository

The Bankers Assistant App is developed using Python and machine learning concepts. The UI is designed using PyQt5.

The Bankers Assistant App is a desktop application developed to provide assistance to a banker in various tasks. The app is embedded with -

1. Face Recognition - The user can save the face data of other people and can recognise them on live camera. The algorithm first saves the data in the form of numpy arrays and later on uses KNN to recognise the faces on live camera.
2. Image to text converter - The user can convert an image to text and save it in a doc file or a pdf file.
3. Database - A simple database developed using CRUD properties of python that provides user to save first name, last name and phone numbers.
4. Automatic Text Summarizer - Automatic text summarizer can be used to summarize a given text. It is developed using the techniqued and concepts of NLP.
5. Email Classifier - Email classifier can be used to classify an email as ham or spam. It is developed using the concepts of NLP.

1. os
2. cv2
3. numpy
4. pandas
5. pytesseract
6. tkinter
7. PyQt5
8. docx
9. re
10. math
11. nltk
12. scipy
13. misc
14. sys