Email management can easily be more than expected to be time-consuming, especially in the case of professionals receiving hundreds of emails daily. Automating the sorting and prioritizing of these emails by their content and importance could save a lot of time and improve productivity. The project will involve developing a model that uses NLP and machine learning to classify and prioritize emails, therefore streamlining email management.
Week 1-2: Initial Planning and Requirement Analysis
Define project objectives, scope, and high-level requirements.
Gather necessary data and resources.
Week 3-4: Data Collection and Preprocessing Phase
Collection and preprocessing of a dataset of emails for training and testing of the model.
Feature Extraction and Data Cleaning Week 5-6: Model Development Phase
To develop and train the NLP-based Machine Learning model for email classification.
To verify the accuracy and performance of the model against test data.
Week 7-8: System Implementation Phase
To implement the email sorting and prioritization system
Integration of the model within any existing email clients for real-time sorting.
Test and enhance the system based on performance metrics and user feedback.
Weeks 9-10: System Integration and Testing Phase
Extensive testing to ensure precise sorting and prioritization
Monitoring of system performance and user interactions with the system
Continual improvement as indicated by analytics and provided user feedback Weeks 11-12: Final Evaluation and Reporting Phase
Perform the final evaluation and validation of the automated email sorting system.
Make up the final project report together with its documentation.
Provide individual student report presentations.
