Project Title: Virtual Tutor AI Video Web Application
Category: AI / Web Application
Project File: Download Project File
Shakeel Saeed
shakeel@vu.edu.pk
shakeelsaeedvurnd
Project Domain / Category:
AI Based Web Application
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.
1. User Authentication and Management
Implement secure user registration and login functionalities. Provide user profile management features.
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.
Integrate with HeyGen API for avatar generation and customization.
Utilize OpenAI API to power ChatGPT functionalities for dynamic conversations.
Implement subscription-based access with payment integrations (e.g., PayPal, Stripe, Authorize.net).
Provide usage tracking and reporting for subscribers.
Develop a dashboard for administrators to manage users, subscriptions, and system settings.
Include analytics and reporting tools to monitor platform performance and user engagement.
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.
Ensure the platform can handle multiple concurrent user interactions efficiently. Optimize system performance to maintain low latency during real-time interactions.
Implement data encryption and secure communication protocols to protect user information.
Ensure compliance with relevant data protection regulations and standards.
Provide support for multiple languages in both user interface and avatar interactions to cater to a diverse user base.
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.
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
Name: Shakeel Saeed
Email ID: shakeel@vu.edu.pk
Skype ID: shakeelsaeedvurnd
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