
Microcontroller, RTOS and robotics projects prototyped on physical boards in our Chennai hardware lab, guided by the mentor who runs it.
Whether you need a final year project in Embedded Systems, an IEEE 2026 build or a mini project for your portfolio, the approach is the same: understand the problem, build it yourself with a mentor, and be ready to defend it.
Embedded projects are judged on reliability and timing: does the system respond correctly, every time, within its constraints?
We help you balance ambition with what can be built, tested and demonstrated within your semester.
You move through requirement analysis, schematic design, firmware development, integration and timing tests on real boards.
Weekly lab sessions let your mentor check wiring, firmware logic and power design in person.
Every title is matched to a recent base paper and adapted to your skill level. You can also bring your own problem statement.
Sensor fusion and PID motor control.
Deterministic task scheduling on STM32.
Accelerometer-based crash alerts with GPS location.
IMU-driven servo control with calibration.
Dual-axis tracking for maximum power.
Remote immobilisation and live tracking.
Every Embedded Systems project follows weekly milestones with a code review at each step, so you understand every module before moving on.
You get scheduled sessions with your mentor, in person in Chennai or online, and a shared tracker that shows exactly where your project stands.


Your report follows your university format and is plagiarism-checked. Review PPTs are prepared for each internal review, and mock vivas cover the questions panels actually ask.
If your results are strong, we help you turn the project into an IEEE or Scopus paper.
Industry-standard tools, so your project doubles as interview material.

ESP32, Arduino and Raspberry Pi projects with real sensors, cloud dashboards and mobile alerts, prototyped in our on-site hardware lab rather than simulated.

Computer vision, NLP, generative AI and predictive models for final year and IEEE 2026 projects, built with TensorFlow and PyTorch under a mentor who ships ML systems for a living.

Django and Flask web applications, automation tools, data pipelines and ML prototypes for mini and final year projects, written to be readable, tested and easy to defend.
Yes, particularly robotics and RTOS projects with a strong software component. Hardware basics are taught during the project.
For projects that need them, we guide PCB design in KiCad and arrange fabrication, otherwise we use development boards.
Simulation in Proteus is used for design, but we strongly recommend a physical prototype because panels value a working demo.
Most major embedded projects take 8–14 weeks including component procurement and testing.
Share your degree, interests and review dates. We will suggest titles and a realistic plan.