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email-auto-responder

https://github.com/sapan-khadka/email-auto-responder

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: sapan-khadka
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 32.2 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 9 months ago
Metadata Files
Readme Contributing License Citation

README.md

Smart Email Auto-Responder (SmartReply AI)

Python

An AI-powered email classification and response system using NLP and the Gmail API. It automatically categorizes incoming emails (urgent, personal, spam) and generates smart, context-aware replies.

🤖 How It Works

  • Authenticates securely with your Gmail account
  • Fetches unread emails
  • Classifies emails using machine learning
  • Generates smart replies using NLP/AI
  • Optionally allows manual review before sending

🚀 Features

  • Email Classification: Classifies emails using spaCy + scikit-learn
  • Smart Reply Generation: Uses OpenAI GPT or local transformer models
  • Gmail Integration: Handles read/reply via Gmail API
  • Custom Training: Train the classifier with your own dataset
  • Modular & Scalable: Easily extend or integrate with other tools

💻 Tech Stack

  • Language: Python 3.9+
  • NLP: spaCy, scikit-learn
  • AI: OpenAI API / HuggingFace Transformers
  • Google Integration: Gmail API
  • UI: Streamlit
  • Dependencies: See requirements.txt

⚙️ Installation

  1. Clone the repository
    bash git clone https://github.com/sapan-khadka/email-auto-responder.git cd email-auto-responder

  2. Set up virtual environment
    bash python -m venv venv venv\Scripts\activate # On Windows source venv/bin/activate # On Mac/Linux

  3. Install dependencies
    bash pip install -r requirements.txt python -m spacy download en_core_web_sm

  4. Configure Gmail API

🏃‍♂️ Usage

  1. Run the app using Streamlit
    bash streamlit run app.py

  2. First-time use will prompt Gmail OAuth login

  3. New emails will be processed and classified

  4. Replies will be generated and optionally sent automatically

👨‍💻 Author

Sapan Khadka
- 🌐 GitHub: @sapan-khadka
- 💼 LinkedIn: Sapan Khadka

Owner

  • Login: sapan-khadka
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: article
  message: "If you use spaCy, please cite it as below."
  authors:
  - family-names: "Honnibal"
    given-names: "Matthew"
  - family-names: "Montani"
    given-names: "Ines"
  - family-names: "Van Landeghem"
    given-names: "Sofie"
  - family-names: "Boyd"
    given-names: "Adriane"
  title: "spaCy: Industrial-strength Natural Language Processing in Python"
  doi: "10.5281/zenodo.1212303"
  year: 2020

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