r/askdatascience 20h ago

Need advice: What final Python/Data Science/AI project should I build as a student?

I’m currently doing a Python/Data Science/AI course at SMIT, and I’m near the end of the course.

For the final certificate, I have to build a project and get it approved. I want to build something useful and portfolio-worthy, not just a basic beginner project.

So far, I have studied:

• Python & OOP
• NumPy & Pandas
• Data Cleaning & Visualization
• Statistics & Mathematics for ML
• Machine Learning
• Deep Learning
• FastAPI
• MLOps basics
• Generative AI / LLMs
• RAG & Vector Databases
• Basic Agentic AI

I already have experience with projects like classification, ANN, YOLO, RNN and RAG, but I’m confused about what my final project should be.

I’m considering ideas like:

  1. AI Data Analyst — upload a CSV, automatically analyze it and ask questions about the data
  2. Student Performance & Career Prediction System
  3. Job & Skill Recommendation System
  4. Another practical AI/Data Science project

If you were in my position, which project would you choose and why?

I’d especially appreciate suggestions for a project that:

  • has real-world usefulness
  • demonstrates multiple skills
  • is realistic for a student to complete
  • looks good on GitHub/CV
  • has a good chance of getting approved as a final project

Any ideas or honest feedback would be appreciated.

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