Audit AI integration options for an existing Android video app
Project brief
We need an AI engineer to review an existing Android/Kotlin video app and recommend a practical modernization path. Its current components include browsing, personalization, Firebase, premium access, local storage and ONNX background removal.
Assess a natural-language creator/copilot, background generation or replacement, captions, video analysis, tagging, moderation, semantic search and recommendations. Explain on-device versus cloud choices, backend needs, model options, security, scale and running costs. Return prioritized findings and a phased roadmap, not a new implementation.
Authorized architecture and code access must be agreed before starting. This is a $50 audit; development is separate. Allow seven production days after materials are ready.
Deliverables & acceptance
What you'll deliver
- Technical audit with architecture recommendations, prioritized features and phased roadmap.
What the result must meet
- Recommendations address the supplied Kotlin/Firebase/ONNX architecture, with stated assumptions and evidence.
- On-device/cloud tradeoffs, security, cost and implementation priorities are explained.