Hi everyone, I’m a final-year Software Engineering student working on a project focused on Machine Learning (ML) and Artificial Intelligence (AI). I want to solve a real-world problem through my project but need some guidance on how to get started effectively.
My main question is:
- What steps should I follow to identify and solve a real-world problem using ML/AI?
- Are there specific domains (e.g., healthcare, education) where impactful ML/AI projects are currently needed?
Could you suggest:
- Potential real-world problems to focus on?
- Tools, frameworks, or datasets that could help?
- Resources to improve my project’s impact?
Thank you for taking the time to read this! I’m looking forward to hearing your insights. 😊
Mohammad Nurunnabi
Identify a Relevant Problem: Choose a real-world issue that can benefit from AI, such as healthcare, finance, or sustainability. Define Clear Objectives: Set specific goals, like improving efficiency, accuracy, or automation. Research Existing Solutions: Review current AI methods or tools used to address similar problems. Data Collection: Gather and preprocess relevant data for model training. Choose the Right AI Techniques: Select algorithms (e.g., machine learning, deep learning) suited to the problem. Develop and Test Models: Build and evaluate models, refining them based on performance metrics. Validate Results: Ensure the solution is practical, scalable, and addresses the problem effectively. Document and Present: Provide clear explanations of the methodology, results, and potential real-world impact.
To approach real-world problem-solving for a final-year AI project:
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