Multiplatform Personal AI Assistant raziael
Budget: $10 – $30 AUD
I need a single AI companion that my two friends and I can reach from wherever we happen to be—browser, phone, or desktop. The same chat window that answers our everyday trivia, personal reminders, and “why isn’t this code compiling?” questions should also double as a smart vault for our files.
Here’s the flow I have in mind: a user logs in, asks a question, drops in a PDF or an image, and later returns on another device to pick up the threaded conversation or retrieve that file with a quick search. The assistant must therefore combine a solid NLP backbone (OpenAI, Llama-based, or another proven model), a structured storage layer for documents, images, and audio/video, and a clean cross-platform interface built with a shared codebase to minimise maintenance.
Key outcomes I expect from you
• A responsive web client, packaged mobile app, and lightweight desktop build that all point to the same backend
• Conversational Q&A covering general knowledge, personal queries and hands-on technical support, with context preserved across sessions
• File ingestion, tagging, and retrieval for documents, images, and audio/video, with preview where sensible
• User-level privacy controls so only the three of us see our own content
• Deployment scripts and brief hand-off documentation so we can run, update, or extend the system ourselves
If this aligns with your experience in NLP, vector search, cloud storage, and cross-platform UI frameworks, let’s talk about the architecture and milestones.
Here’s the flow I have in mind: a user logs in, asks a question, drops in a PDF or an image, and later returns on another device to pick up the threaded conversation or retrieve that file with a quick search. The assistant must therefore combine a solid NLP backbone (OpenAI, Llama-based, or another proven model), a structured storage layer for documents, images, and audio/video, and a clean cross-platform interface built with a shared codebase to minimise maintenance.
Key outcomes I expect from you
• A responsive web client, packaged mobile app, and lightweight desktop build that all point to the same backend
• Conversational Q&A covering general knowledge, personal queries and hands-on technical support, with context preserved across sessions
• File ingestion, tagging, and retrieval for documents, images, and audio/video, with preview where sensible
• User-level privacy controls so only the three of us see our own content
• Deployment scripts and brief hand-off documentation so we can run, update, or extend the system ourselves
If this aligns with your experience in NLP, vector search, cloud storage, and cross-platform UI frameworks, let’s talk about the architecture and milestones.