Machine Learning Capstone Project Timeline

Original Prompt: can you help me generate a gantt chart based on this timeline starting 1st dec 2023,1. **Learning Foundations (1-2 weeks):** - Familiarize yourself with basic machine learning concepts, Python programming, and relevant libraries (e.g., TensorFlow, Scikit-Learn). - Understand the basics of natural language processing (NLP). 2. **Data Collection and Exploration (1 week):** - Collect a dataset suitable for fake news detection. - Explore the dataset to understand its structure and characteristics. 3. **Data Preprocessing (2 weeks):** - Preprocess the text data, including tokenization, stop-word removal, and stemming/lemmatization. - Explore techniques like TF-IDF for feature extraction. 4. **Model Implementation (4-6 weeks):** - Train individual models: Implement and train the RNN with LSTM and the GBDT models. - Experiment with hyperparameter tuning for each model. - Evaluate and compare the performance of individual models. 5. **Ensemble Model (2-3 weeks):** - Implement the ensemble model by combining predictions. - Fine-tune the ensemble model and experiment with different configurations. 6. **Django Integration (2 weeks):** - Develop a Django web application. - Integrate the ensemble model into the Django application. - Modify the web interface to enable user input, preprocess text, and obtain real-time predictions. 7. **Real-Time Detection and Optimization (2 weeks):** - Ensure the Django application supports real-time predictions. - Optimize the application for performance and user experience. 8. **Documentation and Presentation (2 weeks):** - Document the entire process, including dataset details, preprocessing steps, model architectures, and results. - Prepare a presentation summarizing the project, explaining the methodology, and presenting results. 9. **Review and Feedback (1-2 weeks):** - Seek feedback from mentors or peers. - Make any necessary adjustments based on feedback. 10. **Final Presentation and Submission (1 week):** - Present the capstone project, showcasing the fake news detection system and its capabilities. - Submit the project documentation and any required materials.

Model: Imagen 4

Created on 11/29/2023 Report

Updated on 8/9/2025