MailBot

MailBot is an intelligent mail management system designed to improve productivity by automating email organization, task scheduling, and spam filtering. By leveraging Natural Language Processing (NLP) and Google APIs, MailBot efficiently extracts tasks from emails, creates calendar events, and filters spam to streamline professional email management.

About the Project

The project comprises various interconnected modules designed to automate key email management tasks:

• Email Parsing: Extracts relevant information like tasks, deadlines, and sender details from incoming emails.
• Date and Time Recognition: Identifies dates from email text using NLP techniques to create scheduled tasks.
• Task Scheduling: Automatically schedules identified tasks in Google Calendar.
• Spam Filtering: Utilizes machine learning algorithms to filter spam efficiently.
• User Interface: Provides an intuitive UI to manage emails, view tasks, and track calendar events.

Features

• Automated Email Parsing
• Intelligent Date and Time Recognition
• Google Calendar Integration for Task Scheduling
• Spam Filtering with Machine Learning
• Simple and User-Friendly Interface
• Enhanced Productivity for Professionals

Technologies Used

• Python: For NLP tasks, including text processing, date extraction, and spam filtering.
• NLP Libraries: SpaCy, scikit-learn
• Google APIs: Google Mail API, Google Calendar API
• Frontend Development: HTML, CSS, Pug
• Database: MongoDB
• Backend Development: Node.js (for API integration and data handling)

Getting Started

To run MailBot locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Ocidemus/mailBot.git
   cd MailBot

2. Set Up Virtual Environment:

   python -m venv env
   source env/bin/activate  # On Windows use 'env\Scripts\activate'

3. Install Dependencies:

   pip install -r requirements.txt

4. Configure API Keys:

   • Set up your Google Mail API and Google Calendar API keys.
   • Add these keys in your environment variables or a .env file.

5. Import Database Schema:

   • Create a MongoDB database and import the schema provided in the project files.

6. Run the Project:

   python main.py

7. Access the Application: Open your web browser and go to http://localhost:5000 (or the specified port).

Contributors

• Shivam-0804
• abhis1n
• ocidemus

License

This project is licensed under the MIT License.

Acknowledgments

Special thanks to Dr. Sakshi Gupta for her guidance throughout the project. Appreciation to the team for their dedication and effort in developing MailBot.