AI English Speaking Video Tutor
Budget: $250 – $750 USD
I’m looking to develop an AI-powered video agent that can facilitate lively group discussions for adult learners who want to improve their spoken English and Visa interviews for UK Universities Admissions and UK embassy and also conduct final interviews. The goal is a functional prototype that I can deploy for small cohorts in real time, with future room to scale.
Key objectives
• Real-time video sessions that handle 3–6 participants at once, guiding the conversation, prompting turn-taking, and offering instant pronunciation feedback.
• Natural-language understanding to assess each learner’s fluency and provide tailored prompts or corrections.
• A facilitator dashboard where I can monitor engagement metrics, see speaking time per participant, and trigger follow-up questions.
• Cloud-based architecture (OpenAI, Google Cloud, AWS, or similar) that can be expanded later for larger classes.
• Clean UI/UX suitable for non-technical adults; web app preferred, but I’m open to a lightweight desktop option if it simplifies low-latency video.
What I expect from you
1. A detailed technical plan outlining models, frameworks, and video stack you’ll use.
2. A working prototype that demonstrates group conversation management, live speech analysis, and corrective feedback.
3. Documentation and hand-off instructions so I can continue testing with my own learners.
4. Reasonable post-delivery support for bug fixes during the initial pilot phase.
When you apply, focus on your experience building conversational AI, video conferencing integrations (WebRTC, Zoom SDK, Twilio, etc.), and any past projects where you analyzed or coached spoken language. Links or short case studies are enough—no need for lengthy proposals.
If your background matches and you can deliver a robust prototype that adults will enjoy using, I’d love to hear how you’d tackle this challenge.
Key objectives
• Real-time video sessions that handle 3–6 participants at once, guiding the conversation, prompting turn-taking, and offering instant pronunciation feedback.
• Natural-language understanding to assess each learner’s fluency and provide tailored prompts or corrections.
• A facilitator dashboard where I can monitor engagement metrics, see speaking time per participant, and trigger follow-up questions.
• Cloud-based architecture (OpenAI, Google Cloud, AWS, or similar) that can be expanded later for larger classes.
• Clean UI/UX suitable for non-technical adults; web app preferred, but I’m open to a lightweight desktop option if it simplifies low-latency video.
What I expect from you
1. A detailed technical plan outlining models, frameworks, and video stack you’ll use.
2. A working prototype that demonstrates group conversation management, live speech analysis, and corrective feedback.
3. Documentation and hand-off instructions so I can continue testing with my own learners.
4. Reasonable post-delivery support for bug fixes during the initial pilot phase.
When you apply, focus on your experience building conversational AI, video conferencing integrations (WebRTC, Zoom SDK, Twilio, etc.), and any past projects where you analyzed or coached spoken language. Links or short case studies are enough—no need for lengthy proposals.
If your background matches and you can deliver a robust prototype that adults will enjoy using, I’d love to hear how you’d tackle this challenge.