PandaAI

Project Title

PandaAI

Project Area of Specialization Artificial IntelligenceProject Summary

PandaAI is an online web application developed using Artificial Intelligence techniques where the system allows the user to Summarize their document, generate Hate Speech Score/Sentimental Analysis, and can narrate the summarized document. Every user with valid credentials can register into the system. The user must upload an MP4 video and the system does the rest. Users can save the work into their account as well to keep accessibility possible.

Project Objectives

1. To assist the user, summarize the Video.
2. To assist the user, identify the Hate Speech and sentiment of the Video.
3. To assist the user, Narrate the summarized Document.
4. To develop a system with high accuracy.
5. To develop a user-friendly and responsive Web-Based Application.
6. To utilize the Artificial Intelligence techniques for an effective Utility Tool.

Project Implementation Method

The diagram tool used for the development of the application is MS Visio. We have used VS Code/Flask for web application development. We have used SQLite3 as a Database. Python is used as a back-end development language with HTML-CSS-Js as front-end language.

Benefits of the Project

• We believe PandaAI is a unique system because it can really help the students to save their time because our platform provides them with a summary of video lectures, they might have missed or do not have time to go through.
• Our Narration feature was integrated so that, if a student does not want to read, they can listen to the summary making their study effort decrease relatively.
• We believe that if we continue working on this project, One day it can change the world of education and would be a great tool for students to use in particular and for other audience as well such as Netflix reviewers. Concept is rigid, Implementation to make it picture perfect would take some time to revolutionize the world.

Technical Details of Final Deliverable

Front-End: HTML,CSS,JS

Back-End: Python,Flask

APIs: EmailJS, IBM-Watson Text to Speech, and IBM_Watson Speech to Text.

Database: sqlite3

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	7422
API Key	Miscellaneous	2	3711	7422