Smart Notes Taker – OCR App Test phase, srs, design phase and code final deliverable

Smart Notes Taker – OCR App Test phase, srs, design phase and code final deliverable

Abstract / Introduction
You need to develop a Smart Note taker Mobile app to be able to use ML Kit of Firebase to test and extract textual content from pix immediately. ML Kit makes clever textual content recognizer one of the fastest OCR apps in the marketplace. User also can share text and download scanned text in pdf format.

App begins with splash display and home display screen which contains brief actions such as experiment textual content, reproduction textual content to clipboard and percentage text everywhere. Minimal looking home display screen lets in customers to navigate thru app so quickly & without problems.

Functional Requirements:
1. Create a Splash Screen whilst App loads.
2. Create secure Login display for consumer to get right of entry to app capabilities.
3. Scan & extract text from pics right away.
Four. Scanned pics text need to be saved in database.
5. User should be able to edit or replica the extracted text.
6. User should be able to replica the entire extracted text.
7. User have to be able to proportion the whole extracted textual content to any of your apps.
8. User need to be capable of download Scanned Images as pdf report.
9. Text To Speech (TTS) carrier. Convert Extracted any text into MP3 audio file. 10. Make App Ready to submit on Google Play


Tools:
Android Studio, ML (Machine Learning) Kit, Java, PHP for APIs and FireBase.

Supervisor:
Name: Muhammad Salman
Email ID: salmanbashir@vu.Edu.Pk
Skype ID: Muhammad.Salman.Bashir