For 2nd & 3rd Year CS/IT Students | Track-Based Learning | Capstone-Driven | Career-Ready Portfolio
This 6-month internship-cum-mentorship program is your launchpad from “I know the basics” to “I’m job- and research-ready.” Whether you’re into AI, MLOps, Web + DevOps, or Embedded Systems, this track-based journey focuses on skill mastery, project execution, and real-world preparation.
📌 Month-by-Month Curriculum
|
Month |
Focus Area |
Key Goals & Activities |
|---|---|---|
|
Month 1 |
🚀 Core Engineering Habits |
– DSA in Python- GitHub workflows- Problem-solving sprints- Version control + PR practices |
|
Month 2 |
🛠️ Dev Tools & Engineering Practices |
– Linux Shell + Git mastery- GitHub Projects- Markdown docs- Intro to CI/CD |
|
Month 3 |
🎯 Specialization Kick-off (Choose 2 Tracks) |
Choose 2 focused tracks from below and begin guided sprints + mini-projects→ Embedded AI→ Web + DevOps→ MLOps→ (Optional) Rust |
|
Month 4 |
🔧 Project Building – Part 1 |
– Raspberry Pi Surveillance System- Dockerized ML Model- Real-time gesture classifier (Arduino + ML) |
|
Month 5 |
🌍 Open Source + Capstone Development |
– Contribute to 3+ open-source repos (Hacktoberfest-style)- Finalize capstone scope- Document & test |
|
Month 6 |
🎓 Showcase + Career Launch |
– Portfolio website v2- Resume (LaTeX & PDF)- LinkedIn polish- Internship & research outreach (50+ apps) |
🔨 Capstone Projects You Might Build
• 🎥 Raspberry Pi Surveillance System (Motion Detection using OpenCV + Python)
• 🧠 Dockerized ML Pipeline (Train → Serve locally using FastAPI + Docker)
• 🤖 Gesture-based Classifier (Arduino + TinyML project for embedded control)
• 🌍 Cloud-Deployed ML App (CI/CD + EC2 + FastAPI + Monitoring)
• 🛰️ GitOps for Robotics (Arduino + CV + GitHub Actions + logs)
🧭 Month 4–6 Career-Focused Goals
🧩 Open Source & Internship Prep
• GSoC-style contribution experience
• Hacktoberfest: Track + Contribute to live issues
• Internship Hunt (Apply to 50–150 companies using AngelList, Internshala, etc.)
💼 Resume & Portfolio Power-Up
• Resume V2: LaTeX/PDF, ATS-friendly
• Portfolio V2: Blog, GitHub widgets, case study format
• LinkedIn: Weekly micro-updates, project threads
🧪 Research-Ready Edge (Optional for High-Achievers)
• Apply for research internships in AI / CV / AIoT(IITs, IIITs, IIITH, DEI)
• Identify professors, labs, and email with a project-backed pitch
📄 Outcomes by the End of 6 Months
✅ 2 Specialization Tracks Mastered
✅ 3+ Mini Projects and 1 Capstone
✅ 3+ Open Source Contributions
✅ Dockerized / Deployed App
✅ Project Videos, Blogs & GitHub Portfolio
✅ Updated Resume + Research/Internship Outreach Plan
✅ Portfolio Website (v2)
🎓 Certification & Proof of Work
• 1 x Internship Completion Certificate
• 1 x Training Completion Certificate
• Capstone Project Evaluation
• Portfolio Showcase Credentials
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