AI-Assisted Homoeopathic Case Analysis Developer
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted47 minutes ago
I am looking for an individual freelance AI Full-Stack Developer to build a private AI-assisted Homoeopathic Case Analysis web application for internal hospital use.
This is NOT a generic chatbot and NOT an autonomous prescribing system.
The main workflow should be:
Patient Case History
→ AI Symptom Extraction
→ Homoeopathic Symptom/Rubric Mapping
→ Repertory Search
→ Materia Medica Knowledge-Base Retrieval
→ Top Matching Remedy Candidates
→ “Why This Remedy?” Explanation
→ Remedy Comparison
→ Doctor Review
→ Final Clinical Decision by Doctor
The AI should only assist the doctor in finding and analyzing relevant symptoms, repertory rubrics and Materia Medica information. The final remedy selection will always be made by the doctor.
Required technical skills:
- Python
- FastAPI
- React / Next.js
- PostgreSQL
- RAG (Retrieval-Augmented Generation)
- Vector Search / Embeddings
- LLM API integration
- Document/knowledge-base processing
- Secure authentication and database design
The system should allow me to upload and manage my authorized Homoeopathic Materia Medica and Repertory knowledge base.
For the first stage, I want a small PAID PROOF OF CONCEPT (POC), not the complete application.
POC requirements:
1. Case entry screen
2. AI symptom extraction
3. Basic rubric/symptom mapping
4. Repertory search
5. Materia Medica retrieval
6. Top 5 matching remedy candidates
7. Matching score
8. “Why This Remedy?” explanation
9. Source/reference display
10. Basic doctor review screen
If the POC works successfully, we can proceed to develop the complete hospital application with patient records, follow-ups, advanced search, remedy comparison, voice input, multilingual support and additional features.
I specifically want an individual freelancer, not a large development company.
Please provide:
- Previous AI/RAG projects
- GitHub/portfolio
- Experience with Python/FastAPI/React/PostgreSQL
- Experience building RAG applications
- Fixed price for the POC
- Estimated timeline
- Estimated cost for the complete application
- Confirmation that the source code will be provided to me
This is NOT a generic chatbot and NOT an autonomous prescribing system.
The main workflow should be:
Patient Case History
→ AI Symptom Extraction
→ Homoeopathic Symptom/Rubric Mapping
→ Repertory Search
→ Materia Medica Knowledge-Base Retrieval
→ Top Matching Remedy Candidates
→ “Why This Remedy?” Explanation
→ Remedy Comparison
→ Doctor Review
→ Final Clinical Decision by Doctor
The AI should only assist the doctor in finding and analyzing relevant symptoms, repertory rubrics and Materia Medica information. The final remedy selection will always be made by the doctor.
Required technical skills:
- Python
- FastAPI
- React / Next.js
- PostgreSQL
- RAG (Retrieval-Augmented Generation)
- Vector Search / Embeddings
- LLM API integration
- Document/knowledge-base processing
- Secure authentication and database design
The system should allow me to upload and manage my authorized Homoeopathic Materia Medica and Repertory knowledge base.
For the first stage, I want a small PAID PROOF OF CONCEPT (POC), not the complete application.
POC requirements:
1. Case entry screen
2. AI symptom extraction
3. Basic rubric/symptom mapping
4. Repertory search
5. Materia Medica retrieval
6. Top 5 matching remedy candidates
7. Matching score
8. “Why This Remedy?” explanation
9. Source/reference display
10. Basic doctor review screen
If the POC works successfully, we can proceed to develop the complete hospital application with patient records, follow-ups, advanced search, remedy comparison, voice input, multilingual support and additional features.
I specifically want an individual freelancer, not a large development company.
Please provide:
- Previous AI/RAG projects
- GitHub/portfolio
- Experience with Python/FastAPI/React/PostgreSQL
- Experience building RAG applications
- Fixed price for the POC
- Estimated timeline
- Estimated cost for the complete application
- Confirmation that the source code will be provided to me
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