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Technologies and tools you can use

At a hackathon, it is not important what specific program or technology you use. The important thing is to find the right tool for your idea and create a working prototype that shows your solution. You can use everything from artificial intelligence and modern web applications to robotics, sensors and IoT to simulations, data analytics, or custom AI models running directly on your computer.

The overview below serves only as an inspiration and demonstration of possible technologies, not as a complete list of allowed tools. If you know other technologies, frameworks, programming languages, cloud services, or hardware that will help you bring your idea to life, you can use them as well. The goal is not to use a specific tool, but to create an interesting, functional, and innovative solution.

Important: All hackathon rules regarding fair competition and self-development continue to apply. Do not use pre-created products, ready-made solutions, competition-specific pre-trained projects, or other pre-prepared outputs that bypass the purpose of the hackathon. All work on the competition solution must be completed during the event in accordance with its official rules and guidelines. Common development tools, AI models, frameworks, libraries, and open-source projects are welcome as building blocks for your own solution, not as an already finished product.

Don’t be afraid to experiment. Most of the tools listed offer a free version, student licenses, or open-source alternatives. The hackathon is an ideal opportunity to learn something new, try modern technologies, and create something that did not exist yesterday.

🤖 Artificial Intelligence and Generative AI

  • AI-assisted chatbots (ChatGPT, Claude, Gemini)
  • Generating text, content, and presentations (ChatGPT, Claude, Gamma)
  • AI tutors and study assistants (ChatGPT, Khanmigo, NotebookLM)
  • Personalization and recommendation systems (Scikit-learn, TensorFlow, PyTorch)
  • Detection of phishing, fraud, and deepfake content (Hugging Face Models, OpenCV, DeepFace)
  • Social media and digital identity analysis (Pandas, NetworkX, GraphXR Community Edition)

🚀 Advanced AI technologies

  • Local AI models (Ollama, LM Studio)
  • Open-source LLMs (Llama, Qwen, Gemma, Mistral)
  • AI agents (CrewAI, LangGraph)
  • Custom AI over documents (AnythingLLM, Open WebUI)
  • Training custom models (Unsloth, Hugging Face)
  • AI image and voice generation (Stable Diffusion, ElevenLabs, Coqui TTS)

🎙️ Voice, audio, and communication

  • Speech-to-text transcription (Whisper, Deepgram Free Tier)
  • Voice generation and synthesis (ElevenLabs Free, Coqui TTS)
  • Call analytics (Whisper, AssemblyAI Free Tier)
  • Voice assistants (OpenAI API, Vapi, Pipecat)
  • AI-to-AI communication (OpenAI Agents SDK, LangGraph)
  • Voice fraud recognition (DeepFace, Resemblyzer, Hugging Face)

🌐 Web and mobile applications

  • Web application development (React, Next.js, Vue.js)
  • Mobile apps (Flutter, React Native, MIT App Inventor)
  • Backend services and databases (Supabase, Firebase, Appwrite)
  • Cloud hosting and deployment (Vercel, Netlify, Render)
  • API integration (Postman, Bruno, MCP servers)
  • Connecting multiple services into one product (n8n, Make, LangFlow)

📊 Data Science and Machine Learning

  • Prediction and classification (Scikit-learn, Orange Data Mining)
  • Data analysis (Pandas, Jupyter Notebook)
  • Personalized models (PyTorch, TensorFlow)
  • Training AI models (Google Colab, Kaggle)
  • Data visualization (Plotly, Streamlit, Power BI Free)
  • Recommendation algorithms (Scikit-learn, Surprise Library)

🎮 Simulation and digital models

  • Simulation of swarm behavior (NetLogo, Mesa)
  • Simulation of energy systems (SimPy, OpenModelica)
  • Reinforcement learning (Gymnasium, Stable Baselines3)
  • Simulation of social networks and algorithms (NetworkX, NetLogo)
  • Digital twins of cities, schools, or networks (Unity, Unreal Engine, Godot)
  • Interactive educational simulators (Godot, Scratch, Unity)

📱 IoT, sensors, and smart devices

  • Internet of Things (IoT) (Arduino, ESP32, Raspberry Pi, Orange Pi)
  • Connected devices (MQTT, Node-RED)
  • Data collection from sensors (Arduino IDE, PlatformIO)
  • Smart home solutions (Home Assistant)
  • Smart city solutions (FIWARE, Node-RED)
  • Monitoring of the environment and infrastructure (Grafana, InfluxDB)

🦾 Robotics and physical hardware

  • Robotic arms (arm kit and Python ready for you)
  • Single-board computers (Orange Pi, Raspberry Pi)
  • Prototyping physical devices (Arduino, ESP32)
  • Automation (Node-RED, Home Assistant)
  • Edge AI devices (Ollama, OpenVINO, MediaPipe)

🎨 UX, design, and product thinking

  • User experience design (Figma, Penpot)
  • Prototype design (Figma, Canva)
  • Testing with users (Maze Free Plan)
  • Visualization of ideas (Miro, Excalidraw)
  • Storytelling and presentation of solutions (Canva, Gamma)
  • Business models and product economics (Strategyzer Canvas, FigJam)

🔗 Modern development practices

  • Hack-and-learn approach (GitHub, Replit, Colab)
  • AI-assisted coding (Cursor, Windsurf, GitHub Copilot Student)
  • Rapid prototyping (Bolt.new, Lovable, Replit)
  • MVP development (Supabase, Vercel, AI)
  • Integration of external services (MCP, REST API, GraphQL)
  • Low-code and automation (n8n, Make, Node-RED)