Stop searching.
Start matching.
Upload your CV once. InternMatch AI understands your skills, finds relevant internships, explains why they fit, and helps you move from discovery to application.
AI Engineering Intern
Focus on NLP pipeline integration, LLM fine-tuning, and scalable inference services.
Built by Üsküdar University students Mohamad Barakat and Selenur Yurdakul, members of AISS Club.
Internship searching
shouldn't feel like guesswork.
Students spend hours browsing opportunities without knowing which roles actually fit their background.
Too many listings
Students browse endless opportunities that may not be relevant to their profile.
No clear fit
A job description tells you what a company wants — not how your actual background compares.
Applications everywhere
CVs, cover letters, submissions and interviews become fragmented across different tools.
Students don't need more internship listings.
They need to know which opportunities actually fit them.
One CV.
A smarter internship journey.
A continuous transformation from raw document into actionable career intelligence.
Upload your CV
Upload once. InternMatch extracts and understands your real academic and project background.
Build your profile
InternMatch organizes skills, education, experience and projects without repetitive manual entry.
Discover relevant matches
Internships are compared against your actual profile using structured skill data and semantic similarity.
Understand why
See your clear strengths, matching skills, missing requirements, and actionable recommendations.
Apply and track
Prepare tailored application content and monitor progress from saved to interview stages.
Engineered for high signal.
Built for candidate clarity.
Every feature is designed to reduce friction and eliminate ambiguity between your academic background and real employer roles.
Your CV becomes your profile.
Upload once. Build from what already represents you.
InternMatch turns your CV into a structured candidate profile so you don't repeatedly enter the same information.
AI Systems Intern
Autonomous Platforms Inc · Remote / Istanbul
Backend Engineering Fellow
Cloud Infrastructures · Hybrid
Know where you actually fit.
InternMatch combines skill alignment, semantic similarity and candidate preferences to surface more relevant internship opportunities.
Matches are scored from structured candidate and internship signals rather than generated from scratch. Students can see the main factors behind each match.
A percentage isn't enough.
See which skills align, what's missing, and what you can improve before applying.
Tip: Complete a basic Docker container project or include containerization in your course projects to address this gap.
“Having developed an end-to-end FastAPI and PyTorch NLP pipeline during university project coursework, my technical experience in structured feature extraction directly aligns with your AI Systems Intern role requirements...”
Go from match to application faster.
Create context-aware application content grounded in your real background and the internship requirements.
Application content is grounded in your profile and the role requirements, helping you prepare a more relevant application.
Keep every application in one place.
Follow progress from Saved to Applied, Interviewing and final outcomes.
AI that supports the decision —
not replaces it.
InternMatch AI does not ask a language model to randomly decide whether a student is a good match.
Matching is calculated from structured skills, semantic similarity and candidate preferences. AI is then used to understand CVs, explain results and support applications.
Less searching.
More relevant opportunities.
Designed to transform hours of scattered job hunting into a streamlined, high-signal experience.
Upload once
Your CV becomes the foundation of your candidate profile.
Personalized matches
Discover opportunities relevant to your actual background.
Understand your gaps
See missing skills before applying so you can prepare strategically.
Apply with context
Prepare role-aware application content tailored to real job criteria.
Stay organized
Keep applications and interview progress in one structured pipeline.
Use it your way
Available in English, Turkish, and Arabic.
See InternMatch AI in action.
Watch the product journey from CV upload to internship matching, application support, and tracking.
A full product demo showcasing the real mobile workflow is currently being prepared.
Built for students.
Designed to grow with employers.
InternMatch AI's initial launch focuses on the student experience. The platform architecture also supports employer-created opportunities, applicant review and interview workflows.
More than a hackathon prototype.
Built with a production-oriented architecture, automated validation, and a maintainable core foundation.
From Shipaton
to a real product.
A disciplined transition from an initial hackathon concept toward public launch.
Shipaton Idea
Original concept born at RevenueCat Shipaton 2026.
Working Product
Core matching engine and candidate profile parsing operational.
Real-Device Validation
Validated on a real Android device across core CV and matching flows.
Launch Readiness
Refining UI, system hardening, and preparing for initial release.
University Beta
Controlled rollout with an initial university student cohort.
Türkiye Expansion
Broader regional availability across campus communities.
Built to make internship discovery
more personal.
InternMatch AI was created by university students who experienced the same fragmented internship search process themselves.
The goal is simple: help students understand where they fit before spending hours applying blindly.
Built by Üsküdar University students Mohamad Barakat and Selenur Yurdakul, members of AISS Club.
Meet the builders.
The student builders behind the architecture, engineering, and product experience of InternMatch AI.
Mohamad Barakat
Co-founder / Builder
Üsküdar University · AISS Club
Selenur Yurdakul
Co-founder / Builder
Üsküdar University · AISS Club
Explore InternMatch
Direct access to project resources, community origin, and release milestones.
Product Demo
Watch InternMatch AI in action.
GitHub
View the InternMatch AI marketing website source.
AISS Club
Learn more about the student community connected to the project's original hackathon journey.
Meet the Team
Learn about the people who built InternMatch AI.
Future App Download
InternMatch AI is preparing for mobile store release.
The product is built.
The next step is launch.
Explore InternMatch AI today and follow the journey toward public release.
Interested in InternMatch AI?
For partnerships, sponsorships or product inquiries:
Contact details coming soonAnswers to common questions.
Everything you need to know about our matching engine, CV handling, and release timeline.
Not exactly. InternMatch focuses on helping students understand which internship opportunities fit their profile and why.
InternMatch combines structured skills, semantic similarity and candidate preferences rather than relying on a single AI-generated score.
No. InternMatch analyzes CV information to build the candidate experience; it does not modify the original uploaded CV.
CV information is processed to provide InternMatch features. Full data-handling details will be published in the Privacy Policy before public release.
InternMatch AI is currently entering launch readiness and preparing for its initial university release.
InternMatch AI is built as a cross-platform mobile product. Public store availability will be announced following platform approval.