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3-Year Roadmap (1 Tasks / Month)
3-Year Roadmap (1 Tasks / Month)
📍 Year 2025 (4th–6th Semester) → Core Skills & Strong Foundation
📍 Year 2025 (4th–6th Semester) → Core Skills & Strong Foundation
Focus: Learning Python, strengthening Java/Python projects, starting AI basics, IELTS groundwork.
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.
📍 Year 2026 (7th–8th Semester) → Research, Advanced AI, and Masters Prep
Focus: Research paper, advanced AI, IELTS completion, scholarship groundwork.
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.
📍 Year 2027 (Post-Graduation) → Applications & Advanced Development
📍 Year 2027 (Post-Graduation) → Applications & Advanced Development
Focus: Strong portfolio, scholarship applications, advanced AI, pre-Masters preparation.
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.
📌 Key Success Targets
📌 Key Success Targets
Portfolio: Maintain a consistent record of projects with GitHub repositories and live demos.
Research: Publish at least 1–2 papers in AI-related fields.
IELTS: Achieve a minimum band score of 7.0+.
Networking: Build a strong professional presence on LinkedIn and connect with academic mentors.
Scholarships: Apply strategically and early to maximize chances of securing full funding.
🔔 Personal Reminder
This page is created as my constant checkpoint. Every time I visit, it will serve as a reminder of my vision, plans, and long-term goals—keeping me focused and accountable to my future self.
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