AI Homeopathy Repertory Assistant need Web Development
Contact person: AI Homeopathy Repertory Assistant
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Location: Chandigarh, India
Budget: Recommended by industry experts
Time to start: As soon as possible
Project description:
"I want to turn the traditional homeopathic repertory into a smart, browser-based assistant that practising homeopaths can consult while working on a case. The idea is straightforward: I open a secure web page, type or paste the client’s narrative, and the system instantly parses the text, highlights rubrics, and ranks likely remedies in a way that feels as natural as chatting with a knowledgeable colleague.
Core expectations
• Runs entirely as a web application so nothing needs installing and all updates are central.
• Designed for professional use—only registered users (homeopaths in my clinic network) can log in, add, edit, and review cases.
• Natural-language symptom processing that maps phrases to repertory rubrics and returns remedy suggestions with grading I can quickly scan.
• Case workspace where I store follow-ups, remedy reactions, and attachments, then pull them back up in seconds.
• Clean, distraction-free UI that works on desktop, tablet, or phone browsers.
Technical notes
I am comfortable if you lean on modern stacks—Python/FastAPI or Node, React or Vue, integrated with an LLM via OpenAI, HuggingFace, or a locally hosted model—and any vector database (e.g. Pinecone, Qdrant) for speedy rubric retrieval. Please secure data at rest and in transit (HIPAA-style encryption is ideal).
Acceptance
1. I can sign in, create a case, paste symptoms, and receive a ranked remedy list within 5 seconds.
2. All entered data is stored and reloads correctly after log-out/log-in.
3. The interface remains responsive on Chrome, Safari, and Firefox.
If you’ve already built medical or knowledge-based assistants, share a live link or short screen-capture so I can judge speed and UX. I’m ready to start as soon as I see a clear plan and milestone breakdown describing the AI pipeline, frontend framework, and security approach." (client-provided description)
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