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Cortex Crew

Cortex Crew emblem — a circuit-board letter C inside a hexagon

A competition team at Daffodil International University in Dhaka. We build working systems, take them on stage, and defend every number in front of a judging panel.

Competition record

1Champion
CSAD 2026
11st Runners-up
IEEE ICADHI 2026
4Finalist
AI Innovation Hackathon 2026 · AI Project Competition 2026 · 5th Data Science Summit · RoboFusion 1.0

What we compete in

Project Showcase

We take working systems to the stage, not slide decks.

Hackathon

Ship under pressure, demo live, defend every number.

Who we are

Cortex Crew is a student hackathon and project showcase team based at Daffodil International University (DIU) in Dhaka, Bangladesh, founded in 2026. The team is made up of Software Engineering students working across machine learning, cyber security, cloud infrastructure, and full-stack development.

Cortex Crew has six competition results from 2026. The team won Champion at the CSAD 2026 Project Showcasing Competition, held by the Cyber Security Centre at Daffodil International University, and finished 1st Runners-up at the IEEE ICADHI 2026 Project Showcase, run by the IEEE DIU Student Branch. It reached the final round at four more without placing: the AI Innovation Hackathon 2026, the AI Project Competition 2026, the 5th Data Science Summit, and RoboFusion 1.0.

The team is led by Kawsher HRidoy, with Shafiur Rahman Shafim on full-stack development, Abdullah Al Khalil on systems and algorithms, and AL Fahad on UI, UX and brand design. Cortex Crew builds working systems and demonstrates them live rather than presenting concepts.

The record

Six competitions. Two podiums, four finals.

Where Cortex Crew finished, event by event — one championship, one runners-up, and four finals reached, across project showcases and hackathons at Daffodil International University and beyond.

  1. Champion

    CSAD 2026 — Project Showcasing Competition

    Cyber Security Centre, Daffodil International University · Dhaka, Bangladesh

    Our first competition as a team, and we took the top prize. Cyber Security Awareness Day put every project on one stage in front of a judging panel — Cortex Crew came away Champion.

    Built · Darktrace3

    Cortex Crew receiving the Champion prize cheque on stage at Cyber Security Awareness Day 2026, Daffodil International University
  2. 1st Runners-up

    IEEE ICADHI 2026 — Project Showcase

    IEEE DIU Student Branch · Dhaka, Bangladesh

    An IEEE international congress on AI and digital health. We placed second overall against a national field.

    Built · Niro

    Cortex Crew holding the 1st Runners-up cheque at the IEEE ICADHI 2026 closing and award ceremony

Reached the final

  1. Finalist

    AI Innovation Hackathon 2026 — From Learning to Impact

    Dept. of CSE, Daffodil International University · Smart City, Ashulia, Dhaka

    Reached the on-site final, where a surprise problem statement was handed out on the day and had to be built on top of our existing system in 2.5 hours.

    Built · Autopilot

  2. Finalist

    AI Project Competition 2026

    Dept. of CSE, Daffodil International University · Dhaka, Bangladesh

    Selected for the final assessment round and demoed live at our own booth to a judging panel.

    Built · AI Mentor

  3. Finalist

    5th Data Science Summit

    Daffodil International University · Dhaka, Bangladesh

    Judged on the data story: turning unstructured paper records into structured, longitudinal health data.

    Built · Niro

  4. Finalist

    RoboFusion 1.0 — Project Showcasing

    UFTB Robotics Club, University of Frontier Technology, Bangladesh · Kaliakair Hi-Tech Park, Gazipur

    Reached the Project Showcasing final at UFTB's first national robotics festival, and demoed live in front of the judging panel.

    Built · BD Krishibid


The work

What we build to compete.

Five systems the team designed and built, each taken on stage against a judging panel.

Competition build2026

Darktrace3

Tells stealer-malware victims exactly what to lock down

Most breach checkers only tell you an email address turned up in a leak. Darktrace3 works from malware and infostealer logs instead, so it can tell a person they were compromised by a stealer at all — and show which sites and accounts were exposed, so they know precisely what to change. Passwords are always masked in results; the tool is built for awareness, not harvesting.

  • Python
  • Flask
  • SQLite
  • Flask-CORS
  • Gunicorn

Built for · CSAD 2026 · Champion

Competition build2026

Niro

Patient-owned medical records, read aloud in Bangla

Patients own their records; an AI reads lab reports and prescriptions in plain Bangla, tracks values over time, and prepares a case summary so a real doctor can review it cheaply. The AI never gives final medical advice — it explains and flags, and consent is a core feature rather than a checkbox.

Competitions
2
Best result
1st Runners-up
  • FastAPI
  • Next.js
  • PostgreSQL
  • Azure OpenAI
  • Alembic

Built for · IEEE ICADHI 2026 · 1st Runners-up

Open source2026

Autopilot

A GPU cluster that heals itself before it fails

Reads GPU telemetry, predicts a failure about 100 seconds ahead, then cordons the node and migrates the running job automatically — a closed loop from prediction to recovery. We measured it against the alert rule real clusters use today, on identical held-out data, and published both numbers.

Precision
0.87
Recall
0.94
Warning
100 s vs 24 s
  • Python
  • LightGBM
  • FastAPI
  • Kubernetes
  • React
  • Streamlit

Built for · AI Innovation Hackathon 2026 · Finalist

Open source2026

AI Mentor

Finds the student who is about to fall behind

A deterministic engine scores every mentee across eight academic and attendance signals, then an AI turns the numbers into a plain-language brief. The mentor opens a ranked command centre instead of scrolling a flat table — and every score can be audited back to the rule that produced it.

Risk signals
8
Cohort
50 students
  • FastAPI
  • Next.js
  • SQLAlchemy
  • SQLite
  • Azure OpenAI

Built for · AI Project Competition 2026 · Finalist

Open source2026

BD Krishibid

Bangla-first, voice-enabled farming for low-literacy Android

Cortex Crew built a Bangla-first farming platform for low-literacy Android: an AI agronomist you can talk to, leaf-photo disease diagnosis, weather-aware irrigation advice, and an ESP32 soil-moisture loop that can run the pump. Every farmer screen has voice in and voice out.

  • Next.js
  • TypeScript
  • Tailwind
  • Supabase
  • ESP32

Built for · RoboFusion 1.0 · Finalist


Work with us

We don't just participate, we make an impact.

Organising a competition, looking for a team to invite, or a student at DIU who wants in? Message the page or send us a line.