52 – Real-World Python Projects – AI Email Assistant

An AI Email Assistant can automatically read, understand, classify, summarize, and reply to emails—just like smart inbox features in Gmail or Outlook.


🎯 What This Project Can Do

✔ Read emails automatically
✔ Classify emails (Work, Spam, Promotions, Personal)
✔ Summarize long emails
✔ Suggest AI-generated replies
✔ Auto-reply to common emails
✔ Work with Gmail / Outlook APIs
✔ Optional web dashboard


🛠️ Tech Stack (Beginner-Friendly)

  • Python
  • IMAP / SMTP
  • NLP (scikit-learn or transformers)
  • OpenAI / Gemini API (optional)
  • Flask / Streamlit (UI)

📁 Project Structure

ai_email_assistant/
│── read_emails.py
│── classify.py
│── summarize.py
│── auto_reply.py
│── app.py

📥 1. Read Emails (IMAP)

import imaplib, email

mail = imaplib.IMAP4_SSL("imap.gmail.com")
mail.login("youremail@gmail.com", "app_password")
mail.select("inbox")

_, data = mail.search(None, "ALL")
for num in data[0].split()[-5:]:
    _, msg_data = mail.fetch(num, "(RFC822)")
    msg = email.message_from_bytes(msg_data[0][1])
    print(msg["Subject"])

🧠 2. Email Classification (ML)

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.naive_bayes import MultinomialNB

X = ["meeting at 10", "win a free iphone", "project update"]
y = ["work", "spam", "work"]

vectorizer = TfidfVectorizer()
X_vec = vectorizer.fit_transform(X)

model = MultinomialNB()
model.fit(X_vec, y)

prediction = model.predict(vectorizer.transform(["free offer now"]))
print(prediction)

✂️ 3. Email Summarizer (AI)

from transformers import pipeline

summarizer = pipeline("summarization")
text = "Long email content here..."

summary = summarizer(text, max_length=50)
print(summary[0]["summary_text"])

✉️ 4. Auto-Reply Generator (AI)

def generate_reply(email_text):
    return "Thank you for your email. I will get back to you shortly."

🌐 5. Optional Web App (Streamlit)

  • Inbox view
  • Email category badges
  • One-click AI reply
  • Summary preview

🚀 Advanced Features You Can Add

✨ Voice-to-Email
✨ WhatsApp / Slack alerts
✨ CRM integration
✨ Calendar auto-booking
✨ Email sentiment detection
✨ Multilingual replies


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