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What we build

Our competition entries, ÜNİDES projects and club projects.

FEATURED PROJECT

ÜNİFEST 2026 · Third place

Agro-Block

Blockchain-Based Smart Agricultural Tracking System

SYSTEM FLOW

  1. Data collection

    [Which data is collected, and with which sensors or devices?]

  2. Blockchain record

    [How is the data or its summary written to the chain? Which network is used?]

  3. Monitoring and verification

    [How does a user see and verify the product’s history?]

PROBLEM
[Describe the problem the project solves: what is missing in agricultural traceability today?]
APPROACH
[How does the system work? Where is data collected, how is it written to the chain, what does the user see?]
TECHNOLOGIES
[Blockchain network, sensors, hardware and software components used]
OUTCOME
The project placed third at the ÜNİFEST Project Competition in the “Agriculture, Food Safety and Livestock Technologies” category. [Jury feedback and next steps can be added.]

AI PROJECT

Arduino UNO Q competition · [Status]

ReLoop AI

An edge-AI waste management system that routes waste to reuse, recycling or compost

SYSTEM FLOW

  1. Waste in

    Waste is dropped in; the camera and sensors look at it.

  2. Sensing

    Image, temperature, humidity and, if needed, gas data are collected.

  3. Edge AI

    The on-device model assesses the waste type and condition.

  4. Decision

    Reuse, recycling, compost or separate handling is chosen.

  5. Routing

    A servo mechanism guides the waste into the right bin.

PROBLEM
Many recyclable and reusable materials cannot be recovered as resources because of wrong sorting, contamination and unsuitable waste collected in the same stream. Manual sorting also takes time and labour. Small-scale places such as campuses, smart buildings and shared living spaces especially need accessible systems that recognise waste at the source.
APPROACH
We aim to determine not only the type of the waste but also its physical condition and the best next route for it. The decision will be made on the device with edge AI, without depending on an internet connection. The ReLoop Impact component will encourage users by turning correct sorting into an environmental impact score through an anonymous NFC or QR identity.
EXAMPLE DECISIONS
A PET bottle goes to recycling, a reusable container to reuse and organic waste to compost. Contaminated or unsuitable material gets separate handling or the user is warned.
TECHNOLOGIES
An Arduino UNO Q as the main processing and control unit; a camera module, temperature, humidity and, if needed, gas/VOC sensors, servo motors, a display and LED indicators, and NFC or QR for user identification. On the software side, Python and/or C++, image processing and an edge-AI classification model.
GOAL
A working prototype that recognises different kinds of waste and routes them the right way, and a scalable concept for campuses, smart buildings and sustainable living spaces.

Got a project idea?

Write your area of interest in the application form and the team will get in touch.

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