Development of an AI-Powered Video Interview Training Platform with Accessibility Compliance

The client faces difficulties in providing an effective interview training experience that includes comprehensive feedback, accessibility accommodations, and scalable integration with existing career resources. Users require an interactive platform to practice interviews with AI-driven insights, while ensuring compliance with accessibility standards for users with disabilities.

A mid-sized online platform providing career development resources, assessment tools, and interview preparation services for students, job seekers, and professionals.

• Implement an AI-powered interview simulation tool that allows users to prepare and record responses for various interview types.
• Integrate video analysis services to provide detailed feedback on facial expressions, speech patterns, eye contact, and other non-verbal cues.
• Enable sharing of recordings with mentors or colleagues for collaborative feedback.
• Ensure the platform meets WCAG 2.1 AA accessibility standards, incorporating accessibility widgets and remediation tools.
• Leverage scalable cloud services for video processing, storage, and analysis to support a growing user base.
• Optimize user experience with interactive interfaces and seamless recording, playback, and feedback workflows.

• Interview scenario creation: Support for custom questions, employer questions, CV-based prompts, and prebuilt interview scripts.
• Video recording and playback using WebRTC technology for cost-effective and high-quality processing.
• AI-powered feedback analysis with integration of image and video analysis services (e.g., facial expression, speech rate, eye contact).
• Reporting dashboard with visual analytics, including graphs and reports derived from video data.
• Commenting and sharing features enabling users to receive feedback from mentors, colleagues, or career advisors.
• Accessibility support: An accessibility widget to adjust navigation, colors, and content, ensuring WCAG 2.1 AA compliance.
• Video sharing capabilities, allowing users to send recordings to up to 10 viewers for feedback.

• Video analysis APIs for facial expression, speech analysis, eye contact, filler words
• Accessibility remediation tools and widgets
• Communication and notification services
• Cloud storage and database systems for video and data management

• Support for high concurrency with scalability to handle increasing user volume
• Video processing latency less than 3 seconds per video
• Data privacy and security in compliance with relevant standards
• System availability of 99.9% uptime
• Responsive UI adhering to accessibility standards

The implementation of the AI-powered interview training system is expected to enhance user engagement by providing personalized, comprehensive feedback. It will facilitate better interview preparation, leading to higher user confidence and success rates. Additionally, adherence to accessibility standards will expand the platform's inclusivity. Overall, the project aims to increase platform utilization and satisfaction metrics, contributing to improved employability outcomes for users.