tanvir-ishraq/HealifyAI--LLM-based-Healthcare-System

Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms

42
/ 100
Emerging

Combines a fine-tuned RoBERTa model (trained via ULMFiT's 3-stage policy on a custom 6,800-sample medical corpus scraped from Healthline) with a Random Forest ensemble classifier covering 135 disease categories across 400 symptoms from Columbia's Disease-Symptom Knowledge Database. Deployed as a Gradio interface on HuggingFace and integrated into a Flask backend, enabling dual-mode operation for both symptom-based disease prediction and open-ended medical Q&A through a single web interface.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

53

Forks

14

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 11, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/tanvir-ishraq/HealifyAI--LLM-based-Healthcare-System"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.