Virtual Tutor AI Video Web Application

AI / Web Application

Project Details

Project Information

Project Title: Virtual Tutor AI Video Web Application

Category: AI / Web Application

Semester: Spring 2025

Course: CS619

Complexity: Normal

Supervisor Details

Project Description

Virtual Tutor AI Video Web Application

Project Domain / Category:

AI Based Web Application

 

Abstract / Introduction

Virtual Tutor AI Video is a standalone web application that integrates OpenAI's ChatGPT with customizable video avatars, enabling dynamic and intelligent interactions across various domains. This platform facilitates real-time voice conversations between users and AI-driven avatars, serving roles such as business assistants, customer support representatives, healthcare operators, and more. By leveraging AI capabilities, Virtual Tutor AI Video enhances user engagement and provides personalized experiences in sectors like e-commerce, healthcare, tourism, and business services.

Functional Requirements:

1.      User Authentication and Management

Implement secure user registration and login functionalities. Provide user profile management features.

2.      AI Avatar Interaction

Enable users to select and customize video avatars with various backgrounds and voice options.

Facilitate real-time voice interactions between users and AI avatars.

Ensure avatars can intelligently interpret user queries and provide accurate responses using ChatGPT integration.

3.      Integration with External APIs

Integrate with HeyGen API for avatar generation and customization.

Utilize OpenAI API to power ChatGPT functionalities for dynamic conversations.

4.      Monetization and SaaS Features

Implement subscription-based access with payment integrations (e.g., PayPal, Stripe, Authorize.net).

Provide usage tracking and reporting for subscribers.

5.      Administrative Dashboard

Develop a dashboard for administrators to manage users, subscriptions, and system settings.

Include analytics and reporting tools to monitor platform performance and user engagement.

6.      Customization and Extensibility

Allow administrators to define specific instructions for avatars to tailor responses to various scenarios (e.g., customer support, weather forecasting).

Support integration with third-party platforms, including WordPress, via plugins or APIs.

7.      Performance and Scalability

Ensure the platform can handle multiple concurrent user interactions efficiently. Optimize system performance to maintain low latency during real-time interactions.

8.      Security and Compliance

Implement data encryption and secure communication protocols to protect user information.

Ensure compliance with relevant data protection regulations and standards.

9.      Multi-Language Support

Provide support for multiple languages in both user interface and avatar interactions to cater to a diverse user base.

10. Logging and Monitoring

Implement logging mechanisms to track system activities and user interactions.

Set up monitoring tools to detect and alert administrators of system anomalies or performance issues.

These functional requirements aim to establish a robust and versatile platform that leverages AI- driven video avatars to deliver interactive and personalized user experiences across various applications.

Tools:

Python For AI, ML, and backend development :

JavaScript (Node.js) For backend services and real-time interactions React.js – For a dynamic and responsive frontend

HTML5 & CSS3 For UI/UX design

 

AI & NLP (Natural Language Processing):

OpenAI GPT (ChatGPT API) For intelligent chatbot responses Google Dialogflow – Alternative for NLP-driven conversations Whisper API (OpenAI) – For speech-to-text processing

 

Video Avatar & Animation:

HeyGen API – For generating AI-powered talking avatars DeepBrain AI – Alternative for realistic AI avatars TensorFlow / PyTorch – For custom AI model development FFmpeg – For video processing and optimization PostgreSQL / MySQL – For structured data storage MongoDB – NoSQL option for flexible storage

AWS S3 / Google Cloud Storage For storing video avatars and user data

Supervisor:

Name: Shakeel Saeed

Email ID: shakeel@vu.edu.pk

Skype ID: shakeelsaeedvurnd

 

Languages

  • Python, JavaScript, HTML5, CSS3 Language

Tools

  • Node.js, React.js, OpenAI GPT (ChatGPT API), Google Dialogflow, Whisper API, HeyGen API, DeepBrain AI, TensorFlow, PyTorch, FFmpeg, PostgreSQL, MySQL, MongoDB, AWS S3, Google Cloud Storage Tool

Project Schedules

Assignment #
Title
Start Date
End Date
Sample File
1
SRS Document
Friday 2, May, 2025 12:00AM
Thursday 22, May, 2025 12:00AM
2
Design Document
Friday 23, May, 2025 12:00AM
Tuesday 29, July, 2025 12:00AM
3
Prototype Phase
Wednesday 30, July, 2025 12:00AM
Friday 12, September, 2025 12:00AM
4
Final Deliverable
Saturday 13, September, 2025 12:00AM
Monday 3, November, 2025 12:00AM

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