Month 1–2

• Learn Python basics → intermediate (focus: AI + automation).
  
  

• Create personal portfolio site (track skills & projects).
  
  

Month 3–4

• Explore Python GUI (Tkinter / PyQt).
  
  

• Refactor & upload past website projects to GitHub.
  
  

Month 5–6

• Study Machine Learning basics (NumPy, Pandas, Scikit-learn).
  
  

• Build JavaFX Desktop App (CRUD + database).
  
  

Month 7–8

• Begin IELTS prep (writing + speaking).
  
  

• Contribute to open-source projects on GitHub.
  
  

Month 9–10

• Learn REST APIs + Database integration in Java/Python.
  
  

• Write & publish technical blog/article about a project.
  
  

Month 11–12

• Create AI mini-project (chatbot, recommender, classifier).
  
  

• Join hackathons & local competitions for experience.
  
  

Month 13–14

• Learn Deep Learning basics (TensorFlow or PyTorch).
  
  

• Brainstorm research topics aligned with AI.
  
  

Month 15–16

• Develop AI project (deploy model as a web or desktop app).
  
  

• Collaborate with faculty for research mentorship.
  
  

Month 17–18

• Draft research/conference paper.
  
  

• Complete IELTS Reading + Listening prep tests.
  
  

Month 19–20

• Build cross-platform mobile app (Flutter or React Native).
  
  

• Add live demos of all projects to portfolio.
  
  

Month 21–22

• Research Masters scholarships (DAAD, Erasmus, Canada, UK).
  
  

• Draft Statement of Purpose (SOP).
  
  

Month 23–24

• Submit research papers/publications.
  
  

• Take IELTS exam & finalize scores.
  
  

Month 25–26

• Submit Masters & scholarship applications.
  
  

• Build flagship AI project (large-scale).
  
  

Month 27–28

• Prepare for technical & scholarship interviews.
  
  

• Join Kaggle/AI communities for visibility.
  
  

Month 29–30

• Learn Cloud AI platforms (Google AI, AWS AI).
  
  

• Create Masters study preparation plan (budget, timeline).
  
  

Month 31–32

• Update portfolio with advanced work.
  
  

• Finalize LORs, SOP, CV.
  
  

Month 33–36

• Confirm Masters admission.
  
  

• Refresh coding & AI fundamentals before departure.