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AURA HomeoAI
AI-powered clinical decision support for homeopaths.
An open-source, local-first clinical assistant for homeopaths. AuraHomeoAI uses private LLMs to automate complex case repertorization, map patient symptoms to remedies, and extract clinical rubrics from voice dictation and images—100% offline.
Hi Product Hunt community! 👋
I’m thrilled to introduce **AuraHomeoAI** to the world today!
As both a developer and someone deeply interested in clinical workflows, I noticed a massive gap in the market: traditional case analysis tools are rigid and manual, while modern AI alternatives compromise patient data privacy by shipping everything to the cloud.
I built AuraHomeoAI to give practitioners the absolute best of both worlds—**cutting-edge agentic AI reasoning built entirely on a local-first, zero-cloud architecture.**
### 🛠️ The Tech Stack & Core Features:
* **100% Offline AI:** Powered entirely by local LLMs via Ollama. Patient data never leaves the practitioner's machine.
* **Agentic Case Repertorization:** Uses an 8-cycle ReAct (Reasoning + Acting) synthesis loop to analyze complex, unstructured patient narratives rather than simple keyword matching.
* **Multimodal Inputs:** Built-in support to extract clinical rubrics from voice dictation during live consultations, as well as computer vision for analyzing physical signs/skin lesions.
* **Open Source:** Designed to be lightweight, customizable, and accessible to practitioners worldwide.
### 💬 I'd love your feedback!
Whether you are a healthcare practitioner, an AI enthusiast, or a open-source developer, I would love to hear your thoughts:
1. How does the UI feel for a fast-paced clinical workflow?
2. If you spin it up locally, how is the inference speed and performance of the ReAct loop on your specific hardware setup?
3. What features or model integrations should we prioritize next?
I'll be here all day answering your questions, technical queries, and chatting in the comments. Thank you so much for your support! 🚀
Finally tried AuraHomeoAI this week and the offline repertorization from voice notes works surprisingly well, even on my beat-up laptop. The privacy angle alone makes it worth bookmarking for sensitive casework.
One thing that would really help is a quick-reference Materia Medica sidebar that pops up as you add each remedy to the case analysis. Having the keynotes and differentiating symptoms right there alongside the repertorization chart would save so much back-and-forth, especially when you're juggling long case-taking sessions and need to confirm your remedy choice on the fly.
About AURA HomeoAI on Product Hunt
“AI-powered clinical decision support for homeopaths.”
AURA HomeoAI was submitted on Product Hunt and earned 4 upvotes and 3 comments, placing #146 on the daily leaderboard. An open-source, local-first clinical assistant for homeopaths. AuraHomeoAI uses private LLMs to automate complex case repertorization, map patient symptoms to remedies, and extract clinical rubrics from voice dictation and images—100% offline.
AURA HomeoAI was featured in Health & Fitness (82.9k followers), Productivity (656.6k followers), Artificial Intelligence (474.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 309.5k products, making this a competitive space to launch in.
Who hunted AURA HomeoAI?
AURA HomeoAI was hunted by Subhamoy Bhattacharjee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AURA HomeoAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Subhamoy Bhattacharjee