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4 scoped briefs

2 mini · 2 major

IoT & Embedded

Physical projects are the ones that make a demo memorable — and they punish sloppiness, because the network really does drop and the sensor really does drift. We build with buffering, calibration, and a device that degrades gracefully rather than dying.

ESP32Raspberry PiArduinoMQTTInfluxDBGrafanaC++
Start a projectDiscuss a custom brief

The standard

Build the system. Understand every trade-off.

Every brief ends with working software, documented decisions, and evidence you can present—not a folder of code you cannot explain.

Two audiences, one engineering standard

Academic depth meets production discipline.

For students

Pick a brief below, or bring the problem statement your department handed you. We architect it with you, review every commit, deploy it to a real URL, and rehearse the viva until no question surprises you.

See student support

For companies

Telemetry pipelines, device fleet management, industrial monitoring, and edge inference where the cloud round-trip is too slow.

Discuss a company build

Mini projects

Focused scope. Real engineering.

Three to four weeks. Narrow enough to finish, deep enough that you learn the decision that actually matters.

2 briefs
Mini project3–4 weeks

Smart Environment Monitor

Sensors to dashboard over MQTT, with local buffering so a network drop does not lose readings.

ESP32MQTTInfluxDBGrafana

You walk away with

  • Sensor calibration procedure
  • Local buffer + replay on reconnect
  • Time-series dashboard
  • Working hardware demo rig
Mini project4 weeks

Smart Attendance with Face Recognition

Edge inference on a Raspberry Pi with a liveness check, so a photo on a phone does not fool it.

Raspberry PiOpenCVTensorFlow Lite

You walk away with

  • On-device inference (no cloud round-trip)
  • Anti-spoofing / liveness check
  • Offline queue for attendance records
  • Accuracy report under varied lighting

Major projects

Capstones you can defend.

Ten to twelve weeks. Architecture, trade-offs, failure modes, deployment, and evidence—the project that carries an interview.

2 briefs
Major project10–12 weeks

Predictive Maintenance System

Vibration and thermal sensing on a machine, with an ML model that flags failure before it happens.

ESP32Pythonscikit-learnMQTTGrafana

You walk away with

  • Multi-sensor fusion pipeline
  • Anomaly model with a lead-time analysis
  • Alerting with an escalation path
  • Hardware rig + failure simulation
Major project10–12 weeks

Device Fleet Telemetry with OTA Updates

A fleet of nodes reporting into one pipeline, with signed over-the-air updates and a rollback that survives a device losing power mid-flash.

ESP32MQTT over TLSPythonTimescaleDBGrafana

You walk away with

  • Provisioning flow with per-device credentials
  • Signed OTA update with A/B partitions and rollback
  • Store-and-forward buffering across a simulated outage
  • Fleet dashboard with per-device health and drift alerts

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Other engineering domains

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Python Full-StackJava & EnterpriseAI & LLM ApplicationsMachine LearningDeep LearningData EngineeringMobile AppsCloud & DevOpsCybersecurityJavaScript Full-StackVLSI & Chip DesignPower Electronics, EV & Energy SystemsSignal Processing & Wireless CommunicationsRobotics, Drones & Autonomous SystemsData Analytics & Business IntelligenceTest Automation & SDETComputer Networks & Protocol Simulation
Your next build starts here

Turn the idea into software people trust.

Bring us a product brief, a business problem, or a final-year project. We’ll turn it into a clear scope, a working build, and a handover you fully own.

Start Your ProjectSend your brief

Prefer email? info@tenzok.in

Tenzok

A product engineering studio for ambitious companies, founders, and students who want real, production-minded work.

info@tenzok.in

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