Search

More Filters

Show More
Add Listing
Go Back

otc_med_chat_agent

0
New
Healthcare & Wellness
Report

Report Abuse

Basic Information

This repository provides an intelligent chat agent designed to help users identify appropriate over-the-counter (OTC) medications based on reported symptoms and common use cases. It is intended for educational and demonstration purposes and explicitly notes it is not a substitute for professional medical advice. The project implements NLP-driven symptom parsing to interpret user input and map symptoms to typical OTC options. It includes a simple interactive Streamlit user interface so users can enter symptoms and receive suggested remedies and follow-up prompts such as whether they want dosage guidance. The README shows basic local setup steps using pip and Streamlit, indicating the project is a runnable prototype for exploring symptom-to-OTC recommendation workflows rather than a clinical decision tool.

Links

Stars
200
Language
App URL
https://github.com/yixinzhang98/otc_med_chat_agent
Github Repository
https://github.com/yixinzhang98/otc_med_chat_agent/blob/main/README.md

App Details

Features
The README lists core features: symptom-based OTC medication recommendation, NLP-powered symptom parsing to extract and interpret user complaints, and a Streamlit UI for simple interactive conversations. The repo includes a short example interaction demonstrating how the bot suggests lozenges for sore throat and acetaminophen for fever and can prompt about dosage guidance. Installation and run instructions are provided: clone the repository, install Python dependencies from requirements.txt, and run the app with streamlit run app/streamlit_app.py. The project also contains a clear disclaimer emphasizing informational use only. The implementation details in the README focus on usability and demonstration rather than production medical functionality.
Use Cases
This agent helps non-expert users quickly get starting suggestions for common OTC treatments by translating plain-language symptom descriptions into typical medication options. It reduces friction for exploring common remedies through a conversational interface and a lightweight Streamlit frontend, which is useful for education, prototyping, and demonstrations of NLP-to-recommendation pipelines. The tool can surface common remedies, prompt for follow-up questions like dosage guidance, and illustrate how symptom parsing can feed simple recommendation logic. Because it is explicitly labeled informational only, it helps users learn about possible OTC responses while reminding them to seek professional medical advice for diagnosis, prescribing decisions, or serious conditions.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1230)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (766)
Productivity Tools (679)
Writing & Editing (666)

Similar Listings

listing image

cyber-doctor

0 (0 review)
listing image

ai-agents

0 (0 review)
listing image

INSIGHT

0 (0 review)
listing image

TxAgent

0 (0 review)
listing image

Multi Agent Medical Assistant

0 (0 review)

Featured Listings

Tags

Please fill the required fields*