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ds-aehtajaz/quickserve-ai

NLP-Based Customer Service Chatbot — MSc DS Project

Python MIT GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

QuickServe.AI is an open-source end-to-end NLP customer-service chatbot for instant support and simple order processing. Intended for developers, data scientists and students (capstone project), it combines intent classification, entity extraction, retrieval and grounded response generation into a runnable demo (Streamlit UI + FastAPI backend). Key features: TF‑IDF+LogReg baseline (macro‑F1 0.947) with optional fine‑tuned DistilBERT (0.831); custom spaCy NER for ITEM/QUANTITY/ORDER_ID (combined F1 ≈0.87); retrieval-augmented generation using sentence-transformers + FAISS (Precision@3 0.95); LangGraph agent for workflow routing; Groq Llama‑3.3‑70B for LLM responses; SQLite DB; 22 pytest tests (71% coverage). Repo includes training notebooks, scripts, and a single-command run.py; DistilBERT model is optional due to size.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
Groq
🧩 AI frameworks (1)
LangGraph
🤖 LLM models (2)
Command R Llama
🔢 Embedding models (1)
sentence-transformers
💾 Databases (1)
SQLite
🌐 Web frameworks (2)
Streamlit FastAPI

Language breakdown (by bytes)

Python
65.7%
Jupyter Notebook
34.3%

Owner

Account
ds-aehtajaz
Type
User
Followers
0

Dates

Created on GitHub 2026-05-09
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-10 16:12

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