AI Voice Skincare Consultant
Budget: $10 – $30 USD
I’m looking for a straightforward proof-of-concept AI voice agent that can live inside our existing mobile app and act as a skincare consultant. At this stage I only need a basic but functional build that demonstrates the following:
• 24/7 voice interaction inside the mobile app
• Hybrid skin analysis: the user answers a brief questionnaire and can optionally upload a selfie for visual review
• Personalized recommendations focused on acne concerns, including product usage tips and simple routine guidance
• A lightweight way for me to update the advice database so content stays current with new research and trends
Keep the tech stack flexible, but please outline the speech-to-text / text-to-speech solution you’d use, any AI or LLM frameworks, and how you’ll handle the image-based analysis. An API-first approach is preferred so we can expand later to website or smart-home integrations.
Deliverables:
1. Basic working demo (APK or TestFlight build is fine)
2. Short setup guide and code repository
3. One-page roadmap suggesting next steps for feature expansion
Aim for clean, well-commented code and a quick turnaround so we can evaluate feasibility before moving to a full build.
• 24/7 voice interaction inside the mobile app
• Hybrid skin analysis: the user answers a brief questionnaire and can optionally upload a selfie for visual review
• Personalized recommendations focused on acne concerns, including product usage tips and simple routine guidance
• A lightweight way for me to update the advice database so content stays current with new research and trends
Keep the tech stack flexible, but please outline the speech-to-text / text-to-speech solution you’d use, any AI or LLM frameworks, and how you’ll handle the image-based analysis. An API-first approach is preferred so we can expand later to website or smart-home integrations.
Deliverables:
1. Basic working demo (APK or TestFlight build is fine)
2. Short setup guide and code repository
3. One-page roadmap suggesting next steps for feature expansion
Aim for clean, well-commented code and a quick turnaround so we can evaluate feasibility before moving to a full build.