Natural Language Processing Based Question Answer Engine from Videos Test phase, srs, design phase and source code final deliverable
Project Domain / Category
Artificial Intelligence: Natural language processing, Speech reputation, Computer Vision
Abstract/Introduction
Automated question answering from lecture movies cloth will use in aggregation with PowerPoint slides that gadget can be constructed by the usage of Natural language processing (NLP). In this system, it is going to be taken into consideration requirements that utilize good judgment to find, extract, and represent a particular solution to a consumer query expressed in natural language (English). A QA system could take as enter a query and it must get as output. For the online state of affairs, students will ask questions to an Instructor captured inside the video.
Functional Requirements:
1. The software must have a graphical user interface that has an admin interface
a. The Admin have to be login with a legitimate username and password.
B. Admin must manipulate all activities of input and output parameters on the GUI interface.
2. There are seven fundamental tasks you will commonly perform whilst developing a system. Tasks (2-7) must be implemented internally while developing the gadget.
I. Task 1: Define the trouble ii. Task 2: Question Processing iii. Task 3: Answer Extraction iv. Task four: Video Preprocessing
v. Task 5: Build gadget vi. Task 6: Test System vii. Task 7: Tune System
three. The application ought to have a information-based totally gadget and feature added phonetic-based transcript mistakes correction, and improved video transcripts with the textual content from the PowerPoint slides.
Four. The utility need to have reports management
five. The admin must manipulate and think about all backup statistics.
6. The admin must view the overall performance and update know-how based on the requirement.
Note: Skype sessions need to be attended to communicate with the supervisor about AI processes in any other case challenge will not be popular.
Tools: Python language
Tools can be encouraged by way of supervisor like speech reputation etc
Prerequisite: Artificial intelligence and Natural language processing Concepts, students will cowl a brief course relevant to the mentioned principles besides SRS and design preliminary documentation.