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  1. Database
  2. TechX Rwanda Hackathon

TechX Rwanda Hackathon

devpostHosted on Devpost

Fetched 16 days ago

Thursday, August 27, 2026

to Friday, September 4, 2026

•

1 week long

Data ScienceArtificial IntelligenceCybersecurity
Student only
This hackathon is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

online

Event Type

87

Participants

7

Est. Projects

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Data fetched 16 days ago

Sponsors

CMU Africa IEEE Student Branch image

CMU Africa IEEE Student Branch

University of Rwanda IEEE image

University of Rwanda IEEE

IEEE CS Micro Mentoring image

IEEE CS Micro Mentoring

About this hackathon

TechX Rwanda 2026: Future-Ready Tech Leaders

The TechX 2026 Thematic Hackathon brings together 100 students, young professionals, and tech enthusiasts at the CMU-Africa Digital Experience Center in Kigali.

This fast-paced innovation challenge bridges academic learning and industry practice. Over three days, participants gain exposure to emerging tech trends, hands-on tool sessions in TensorFlow, Data Science, Cybersecurity, and Git, and direct guidance from dedicated Nano-Mentors to build open-source prototypes tackling real African challenges.

What Makes TechX 2026 Special?
  • Localized Impact: Build solutions designed specifically to tackle East African issues in agriculture, finance, and urban infrastructure.

  • Hands-on Tool Acceleration: Learn and apply tools in parallel technical tracks (AI/ML, Data Science, Cybersecurity, Cloud/Git).

  • Nano-Mentorship: Work side-by-side with experienced technologists who will unblock technical issues and refine your project narrative.

Challenge Tracks Overview

  • Track 1: AgriTech & Climate Resilience (Data Science & AI): Tackle smallholder farming challenges, unpredictable weather patterns, or crop diseases using predictive dashboards or lightweight TensorFlow models.

  • Track 2: FinTech & Financial Inclusion (Data Science & Cybersecurity): Combat mobile money fraud and social engineering using transaction anomaly detection or security verification tools.

  • Track 3: Smart Cities & Public Resource Allocation (Data Science): Optimize public service route planning or peak-hour traffic flow in Kigali using transit and geospatial datasets.

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Data fetched 16 days ago

Sponsors

CMU Africa IEEE Student Branch image

CMU Africa IEEE Student Branch

University of Rwanda IEEE image

University of Rwanda IEEE

IEEE CS Micro Mentoring image

IEEE CS Micro Mentoring

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Feature this hackathon

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27 Aug – 4 Sep · online