Machine Learning

Title and abstract:

• A concise and descriptive title that reflects the essence of your research

Introduction:

• Provide an overview of the research problem.
• Present the context, importance, and relevance of your study.
• State the research questions or objectives.

Literature review:

• Review existing literature related to your research topic.
• Identify gaps in knowledge or areas where further research is needed.
•  Discuss relevant theories, methodologies, and findings

Research Methodology

• Describe the research design and methodology you’ll employ.
• Explain your approach—qualitative, quantitative, mixed-methods, etc.
• Justify your chosen methods and explain how they align with your research goals.
• Detail data collection techniques, sample size, and data analysis methods.

Expected outcomes:

• Outline the expected results of your research.
• Discuss potential implications and contributions to the field.

Timeline and Resources requirement:

• Present a timeline for the different phases of your research.
• Break down tasks, milestones, and the anticipated duration for each.
• List the resources needed for your research (funding, equipment, personnel, etc.).
• Justify why these resources are necessary to complete your project successfully.

Ethical considerations:

• Address ethical concerns related to your research, such as participant consent, data
  privacy, etc.

Conclusion

• Summarize the main points of your proposal.
• Emphasize the significance and potential impact of your research.

 References 
· Provide a comprehensive list of all sources cited in your proposal.

General Presentation

• Grammar, syntax.
• Structure & Layout.
• Visual material (where applicable), e.g. table, figures, diagrams etc.