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AikyaNova

Innovation at the Intersection
AikyaNova DeepTech Training

Don't just study science.
Build with it.

Work on real research problems alongside IIT Madras alumni and industry engineers. Build projects in AI-driven drug discovery, biosensing, healthcare AI, and cell biology — the kind of work that gets you into top MS/PhD programs and high-impact jobs.

Mentored by IIT Madras alumni
Real projects, not toy assignments
Online & offline — open India-wide
DPIIT-recognised startup

Why train with AikyaNova?

Research-grade problems

You work on problems that matter — real datasets, real tools, and outputs that contribute to ongoing research rather than just coursework.

Direct mentorship

Mentored directly by IIT Madras alumni and researchers with experience across AI, biomedical engineering, and drug discovery — not just TAs.

Portfolio-worthy outcomes

Walk away with a documented project, a certificate from a DPIIT-recognised startup, and work that stands out on your CV for MS/PhD and industry applications.

Training tracks

Choose one or combine tracks depending on your background and goals.

AI & ML for Healthcare

Apply machine learning to real clinical and life-science datasets. Build classifiers, predictive models, and decision-support pipelines — from data preprocessing to model evaluation and interpretation.

  • Disease prediction & diagnostic AI
  • Biomedical image analysis
  • Clinical NLP & patient data workflows
  • Tools: Python, scikit-learn, PyTorch, pandas
Suitable for: CSE · AI/ML · Biomedical Engg

Computational Drug Discovery

Learn the in silico pipeline that powers modern pharma. Work through structure-based drug discovery — from target identification to molecular docking, MD simulations, and hit analysis.

  • Molecular docking & virtual screening
  • Molecular dynamics simulations
  • ADMET prediction & lead optimisation
  • Tools: AutoDock, GROMACS, PyMOL, RDKit
Suitable for: Biotech · Pharma · Bioinformatics

Cell Biology & BSL-2 Lab

Get rare hands-on exposure to mammalian and microbial cell culture in a supervised BSL-2 lab environment. Build the experimental foundation that separates you from peers with only theoretical knowledge.

  • Mammalian & microbial cell culture
  • Aseptic technique & biosafety protocols
  • Viability assays & basic characterisation
  • Bengaluru lab access (supervised)
Suitable for: Life Sciences · Biotech · Biomedical

Embedded Systems & Biosensing

Build intelligent, compact diagnostic hardware. Work on embedded systems for biosensing applications — from sensor interfacing and signal acquisition to IoT integration and data pipelines for health monitoring.

  • Sensor interfacing & signal conditioning
  • Microcontroller programming (ESP32/Arduino)
  • IoT data pipelines for health applications
  • Tools: C/C++, Python, MQTT, edge AI
Suitable for: ECE · EEE · Instrumentation · CSE

Program formats

2–6
Month internships

Summer, winter, or rolling — weekday and weekend slots. Work online or in-person at our Bengaluru lab.

B.Tech / M.Tech
Final-year projects

Complete your thesis-equivalent project on a live AikyaNova research problem. Full mentorship, documentation, and co-authorship where applicable.

4–8
Week mini-tracks

Short, focused modules for students outside Bengaluru or with limited availability. Fully online with guided assignments.

What you take away

Certificate

AikyaNova™ DeepTech Training certificate from a DPIIT-recognised startup — credible and verifiable.

Project portfolio

Documented code, reports, and outputs you own — ready to share on GitHub, LinkedIn, and in interviews.

Letter of recommendation

For interns with strong performance — backed by mentors with IIT Madras and industry credentials.

Research exposure

Tools, workflows, and thinking patterns used in leading research labs — a clear edge for MS/PhD applications.

Who should apply

B.Tech / B.E / M.Tech / M.Sc / B.Sc students in CSE, ECE, AI/ML, Biotechnology, Biomedical, Life Sciences, or related fields.

Students who want to combine coding + biology + hardware and work on problems that span disciplines.

Anyone targeting MS/PhD admissions at top global universities and needing strong research projects on their CV.

Students eyeing roles at health-tech, biotech, or AI companies and wanting hands-on proof of capability.

Final-year students needing a project supervisor on a live DeepTech problem with real-world impact.

Curious learners with no prior research experience who want a structured, guided entry into DeepTech.

Apply in 3 minutes

Send us a short email — no lengthy forms, no entrance tests. We review applications on a rolling basis and respond within 48 hours.

  1. 1 Your name, degree program, year of study, and college / university.
  2. 2 Which track(s) interest you: AI/ML in Healthcare, Drug Discovery, Cell Biology, or Biosensing.
  3. 3 4–5 lines on why you want to work in DeepTech and what you hope to build.
  4. 4 Optional: your CV or a list of tools / languages you know.

These are paid training programs. Fee details and seat availability are shared upon application. Seats are limited each cohort.