Techalyze 2024:

The Global Hackathon on Intelligent Tech Analysis

About The Hackathon

Techalyze 2024 is a premier global hackathon designed for innovators, data scientists, developers, and analysts to explore the future of data-driven technology analysis.
Participants will build intelligent solutions that analyze, interpret, and visualize technology trends, cybersecurity data, financial signals, and sustainability metrics using machine learning, cloud computing, and advanced data visualization.

The hackathon encourages interdisciplinary collaboration — merging AI, analytics, cloud, and cybersecurity — to build systems that see beyond data and deliver actionable intelligence.

Countdown to the Future of Intelligent Tech Analysis — Your Data. Your Code. Your Impact.

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Hackathon Tracks:

  • AI-Powered Tech Insights

  • Cyber Threat Intelligence & Analytics

  • Cloud and IoT Performance Analysis

  • Tech Market and Financial Analytics

  • Sustainability and GreenTech Data Analysis



Sample Problem Statements:

  1. Predict the next major disruptive technology using global patent and publication data.

  2. Create an AI-based cybersecurity risk index analyzing real-time global breach datasets.

  3. Analyze IoT energy consumption patterns and recommend optimization strategies.

  4. Develop a visual analytics platform for tracking cloud infrastructure performance.

  5. Build a data-driven decision model for forecasting venture capital flows into tech sectors.

Allowed Technologies & Tools:

  • Programming: Python, R, SQL

  • ML/AI Libraries: Scikit-learn, TensorFlow, PyTorch, Hugging Face

  • Data Analysis: Pandas, NumPy, Power BI, Tableau, Streamlit

  • Cloud Platforms: AWS, Azure, Google Cloud, IBM Cloud

  • Big Data & Databases: Apache Spark, Hadoop, MongoDB, PostgreSQL

  • Visualization: Plotly, Matplotlib, Dash, D3.js

Participation Details:

Step into the challenge — collaborate, innovate, and showcase your analytical brilliance at Techalyze 2024.

20–22, August 2024
Three days of ideation, development, and innovation, from kickoff to final judging and awards.
Mode:
(Online + Onsite via Data Vision Global Platform)
Team Size:
2–5 members
Duration:
48 hours of intensive analysis, coding, and innovation
Awards:
Best Innovation, Best Visualization, Best AI Integration, and Jury’s Choice
Eligibility:
Open to students, researchers, developers, and tech professionals worldwide

Judges & Mentors

Guiding innovation, inspiring intelligence — meet the minds behind the analysis.

Bangar Raju Cherukuri

Senior .NET Developer Tech Analysis Inc. Washington DC USA

unnamed (4)
Mr. Arjun Dev Nair

Lead Cloud Engineer, Google Cloud India

unnamed (5)
Dr. Ayesha Rahman

Senior Data Scientist, Microsoft Research Asia

unnamed (6)
Mr. Michael Carter

Chief Cybersecurity Strategist, IBM Cloud Security – USA

Evaluation Criteria:

Analytical Rigor

Soundness and accuracy of analysis and data modeling

Data Visualization

Clarity, depth, and storytelling quality

Innovation

Uniqueness, creativity, and future relevance

Impact & Applicability

Real-world potential and societal or business relevance