Indian student placements in 2026 are split into two markets: candidates with a portfolio of shipped AI projects and candidates without one. The first group lands offers. The second group competes on CGPA — and there's always someone with a higher CGPA. The fastest way to escape that competition is to ship before everyone else does.
Why portfolios beat CGPA in 2026
- Recruiters can verify a deploy URL in 30 seconds. They can't verify your CGPA without a transcript
- AI-built side projects show initiative — the rarest signal for fresher hiring
- Most college AI curricula are 1–2 years behind industry tools
- A portfolio scales — every recruiter you talk to sees the same three projects
The 3-project portfolio you'll have after ONROL
- Live website built with AI — link goes on your resume + LinkedIn header
- Backend automation handling a real workflow — describe in interviews to show systems thinking
- Personal AI assistant trained on your notes / docs — show in 30 seconds at any networking event
How students should use ONROL projects in placements
Add the URLs to your resume in a 'Projects' section above your coursework. In interviews, walk through the build — the trade-offs you made, the tools you picked, the problems you solved. This beats any rehearsed answer to 'why should we hire you?'
Earning while you study
Many ONROL student grads start freelancing within 2–4 weeks of finishing. Common services: AI automation for local SMBs (₹15-30k/project), content systems for creators (₹10-25k/month retainer), AI agent builds (₹25k+/project). The same portfolio that lands placements lands clients.
What to ask before paying for any 'AI course for students'
- Will I have a deploy URL by the end? (If 'no', it's a content course, not a builder course)
- Are mentors active practitioners or pre-recorded videos?
- What did the last cohort actually ship? Show me the URLs
- Is there ongoing community access after the program ends?
- Is there a student-friendly price point?