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Applied AI Lab · Education + Healthcare

Where applied AI
meets real purpose.

We turn raw potential into real, verified work — mentored internships, AI hackathons, school programs, and published cancer-detection research.

Projects inspired by real engineering challenges at
Amazon Google Microsoft Swiggy Zomato PhonePe Flipkart Stripe Airbnb Shopify Atlassian Meesho Razorpay CRED Amazon Google Microsoft Swiggy Zomato PhonePe Flipkart Stripe Airbnb Shopify Atlassian Meesho Razorpay CRED
Education

Structured programmes for the next generation of builders.

Mentored internships, AI hackathons, school innovation programmes, and structured courses — built to produce real skills, real code, and real credentials.

Explore platforms →
Healthcare

Applied AI research from lab to publication.

Deep learning for clinical diagnostics — Springer-published, nationally covered cancer-detection research developed in partnership with hospitals and clinical departments.

See the research →
Three platforms

One learner's journey.

From school classrooms to university hackathons to mentored, career-ready internships — the same research-first DNA, a different stage of learning.

Internships · 12 weeks

Prajnix Praxis

Weekly logs & reviews Mentor milestone sign-offs Verified certificate
🎯
Matched, not applied
Students are placed onto real projects with experienced mentors — admin-directed, no cold applications.
🔗
GitHub + CI telemetry
Real commits, PR reviews, and CI runs are wired into the workspace — progress is grounded in actual code.
Hackathons · University

Prajnix Studio

3-phase innovation journey Sage AI always-on mentor Live MVP every event
🧠
Sage AI co-builder
A proactive Socratic AI that nudges with questions, not answers — developing thinking rather than replacing it.
🚀
Ship during the event
A guided build workspace takes every team from raw idea to a working, deployed prototype in a single morning.
Schools · Grades 7–12

Prajnix Campus

4-phase innovation quest Socratic AI guide Live URL portfolio
💡
Problem to prototype
Students scout a real-world problem, ideate a solution, and build a working prototype they can present.
🌐
A live portfolio URL
Every student leaves with a shareable link — ready for school portfolios, competitions, and applications.
Find your path

Where do you fit in?

PrajniX Labs works across three contexts. Pick yours and we'll point you to the right place.

🎓

I'm a student

Join a mentored 12-week internship, a weekend hackathon, or a structured AI course. Leave with verified work, real code, and a portfolio employers can see.

🏫

I'm an institution

Bring structured AI innovation programmes to your university or school — mentored builds, curriculum partnerships, and events designed for deployment at scale.

🔬

I'm a clinical partner

Collaborate on applied AI research in healthcare — from model development to peer-reviewed publication. We work directly with hospitals and clinical departments.

Healthcare AI · About us

AI that sees what
the eye cannot.

Deep learning for early laryngeal cancer detection — eight clinically distinct classes from narrow-band imaging. Published in Springer, 2026. Covered by Times of India, Dainik Jagran, and Amar Ujala.

Read the research → About PrajniX Labs
8
Clinical classes classified
2026
Springer LNNS publication
CE-NBI
Imaging modality
5
National media outlets
Springer · LNNS Vol. 1945 · May 2026
A Multiclass Classifier for the Differential Diagnosis of Laryngeal Carcinoma from Narrow-Band Imaging
Puneet Misra · Mohd Usman · Siddharth Chaurasia

Learn, build, or collaborate.

Whether you are a student, an institution, or a clinical partner — PrajniX Labs has a pathway for you.