MohitGupta41 commited on
Commit ·
ceacf45
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Parent(s): 6d03d4e
Increased Context Window and improved prompt
Browse files- Data/profile_data.md +2 -2
Data/profile_data.md
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@@ -58,7 +58,7 @@ I possess expertise across a broad range of technologies and tools:
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The **Medical Assistant – RAG + Agentic AI** is an **end-to-end healthcare assistant** that combines **Retrieval-Augmented Generation (RAG)** for medical Q\&A, **agentic workflows** for handling patient operations, and a real-time **admin dashboard** for medical staff. The system integrates a **Streamlit frontend**, **FastAPI backend**, and **SQLite/Supabase database**, with embeddings powered by **SentenceTransformers** and a **FAISS vector store** for semantic search. Both frontend and backend are **Dockerized** and deployable on **Hugging Face Spaces**.
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Live Demo (Frontend) - https://medical-agentic-
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Backend API - https://mohitg012-medical-bot-agentic-ai.hf.space
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Frontend in **Streamlit**, backend in **FastAPI**, persistence with **SQLite/Supabase**, and embeddings via **SentenceTransformers** (offline compatible).
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This Project is real time project in which real time registration of patients, appointment confirmation, medicine stock status and patient case summaries can be seen.
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##### Deployed Link: https://medical-agentic-
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##### Deployed Backend Link: https://mohitg012-medical-bot-agentic-ai.hf.space
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The **Medical Assistant – RAG + Agentic AI** is an **end-to-end healthcare assistant** that combines **Retrieval-Augmented Generation (RAG)** for medical Q\&A, **agentic workflows** for handling patient operations, and a real-time **admin dashboard** for medical staff. The system integrates a **Streamlit frontend**, **FastAPI backend**, and **SQLite/Supabase database**, with embeddings powered by **SentenceTransformers** and a **FAISS vector store** for semantic search. Both frontend and backend are **Dockerized** and deployable on **Hugging Face Spaces**.
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Live Demo (Frontend) - https://medical-agentic-aibot-mohit-gupta.streamlit.app/
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Backend API - https://mohitg012-medical-bot-agentic-ai.hf.space
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Frontend in **Streamlit**, backend in **FastAPI**, persistence with **SQLite/Supabase**, and embeddings via **SentenceTransformers** (offline compatible).
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This Project is real time project in which real time registration of patients, appointment confirmation, medicine stock status and patient case summaries can be seen.
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##### Deployed Link: https://medical-agentic-aibot-mohit-gupta.streamlit.app/
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##### Deployed Backend Link: https://mohitg012-medical-bot-agentic-ai.hf.space
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