AI-Driven Video-Based Virtual Interviewer (Bilingual: English & Arabic)
Budget: $1,500 – $3,000 USD
We are seeking experienced AI developers or companies with proven expertise in building AI-powered video-based virtual interview platforms. The ideal partner will have ready-made models, platforms, or frameworks, and can provide a demo or proof of concept (PoC) to showcase their capabilities.
Project Scope:
- Develop a video-based interview solution with real-time interaction.
- AI-driven interview assistant capable of asking structured questions and interpreting video/audio responses.
- Use NLP and computer vision to analyze responses, including voice tone, facial expressions, and body language.
- Generate comprehensive, unbiased evaluation reports based on predefined scoring criteria.
Build a simple and intuitive user interface for candidates and admin access for recruiters.
Key Features Required:
- Bilingual Support: Seamless interaction in both English and Arabic.
- Question Flexibility: Customizable question banks with options for technical, HR, and behavioral interviews.
- NLP for understanding verbal responses.
- Reporting Dashboard: Provide evaluative insights, scores, and improvement suggestions.
User-Friendly Design: Easy setup for candidates to join video interviews.
Requirements:
- Previous Experience: Demonstrated success in developing similar platforms or models.
- Expertise in developing AI-driven video solutions (e.g., TensorFlow, PyTorch, OpenCV).
- Proficiency in NLP for bilingual languages (English & Arabic).
- Familiarity with video streaming technologies (e.g., WebRTC).
- Experience in building intuitive, user-centric platforms.
Deliverables:
- Fully functional video-based virtual interviewer.
- Integration-ready APIs for our recruitment platform.
- Scalable and secure infrastructure for video processing and storage.
- Analytics and reporting module for recruiters.
- Comprehensive user documentation and training materials.
Project Scope:
- Develop a video-based interview solution with real-time interaction.
- AI-driven interview assistant capable of asking structured questions and interpreting video/audio responses.
- Use NLP and computer vision to analyze responses, including voice tone, facial expressions, and body language.
- Generate comprehensive, unbiased evaluation reports based on predefined scoring criteria.
Build a simple and intuitive user interface for candidates and admin access for recruiters.
Key Features Required:
- Bilingual Support: Seamless interaction in both English and Arabic.
- Question Flexibility: Customizable question banks with options for technical, HR, and behavioral interviews.
- NLP for understanding verbal responses.
- Reporting Dashboard: Provide evaluative insights, scores, and improvement suggestions.
User-Friendly Design: Easy setup for candidates to join video interviews.
Requirements:
- Previous Experience: Demonstrated success in developing similar platforms or models.
- Expertise in developing AI-driven video solutions (e.g., TensorFlow, PyTorch, OpenCV).
- Proficiency in NLP for bilingual languages (English & Arabic).
- Familiarity with video streaming technologies (e.g., WebRTC).
- Experience in building intuitive, user-centric platforms.
Deliverables:
- Fully functional video-based virtual interviewer.
- Integration-ready APIs for our recruitment platform.
- Scalable and secure infrastructure for video processing and storage.
- Analytics and reporting module for recruiters.
- Comprehensive user documentation and training materials.