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CloudWalk Nimbus Challenges

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💡 How to explore challenges:

Click on any challenge to expand and view complete details. Use the arrow (▼) as a visual indicator.

🧑‍🚀 Level 1: Padawan – Light Side Missions

💬 CloudWalk Chatbot

Build a chatbot that explains what CloudWalk is, its products, mission, and brand values.
Goal: Build a chatbot that explains what CloudWalk is, its products (like InfinitePay), mission, and brand values.

Input: User questions via chat interface.

Output: Natural language answers (optionally Markdown or links).

Requirements:

  • Retrieval-augmented generation (RAG) from public sources
  • 3 sample conversations in README

🔍 Find the Video Source

Given a text snippet, find the original video where it was spoken.
Goal: Given a snippet of text (from a book, paper, article, or transcript), find the original video where it was spoken.

Input: Text snippet (plain text).

Output:

{ "video_id": "yt123", "timestamp_start": "00:14:05", "timestamp_end": "00:14:38" }

Hints:

  • Use YouTube transcripts, embeddings + search APIs (Serper, Tavily, etc)

🥷 Level 2: Jedi Knight – Self-Driven Multi-Agent Companies

🎮 Self-Driven Game Platform

Build a fully autonomous company that generates and promotes a new game daily.
"In the future, software writes software." – Unknown Jedi Coder

Goal: Build a fully autonomous company that generates and promotes a new game daily.

Tasks:

  • Game Generator Agent: Publishes a new JavaScript game every day at one website
  • Marketing Agent: Posts daily ads (Twitter, LinkedIn, Reddit)
  • Billing Agent: Charges $1 for access

Requirements:

  • Agents orchestrated with CrewAI, AutoGen, LangChain, etc
  • Persistent logs or DB of actions
  • Unit test simulating 3 days of operation

Plus Features (Optional):

  • A/B testing of ad performance
  • Global leaderboard
  • Infrastructure as code (Terraform/Pulumi)

📬 Self-Driven Newsletter Company

Autonomous newsletter company with curation, billing, and marketing agents.

Tasks:

  • Curation Agent: Picks trending topics and writes newsletters with LLM
  • Billing Agent: Charges $1/month
  • Marketing Agent: Promotes daily via posts or emails

Plus Features:

  • User segmentation
  • Topic voting via embedded forms

🎧 Self-Driven Music Generator Company

Autonomous music generation company with AI music creation, billing, and marketing.

Tasks:

  • Music Agent: Generates AI music daily (using Suno, Diff-Singer, Riffusion)
  • Billing Agent: Handles monthly payment ($1)
  • Marketing Agent: Posts to social media with samples

Plus Features:

  • Spotify-like auto playlist builder
  • Mood-based music generation

📚 Self-Driven Ebook Generator Company

Autonomous ebook generation company with LLM writing, design, and distribution.

Tasks:

  • Ebook Agent: Uses LLM + DALL·E to write and design ebooks
  • Billing Agent: Monetizes downloads (R$1/month)
  • Marketing Agent: Generates ads and previews

Plus Features:

  • Topic selection via poll
  • Auto-distribution via Telegram bot

🧙‍♂️ Level 3: Jedi Grand Master – Hardcore AI Missions

🤖 Kaggle-Slaying Multi-Agent Team

Build a team of agents that autonomously participate in Kaggle competitions and aim for top 20%.
Goal: Build a team of agents that autonomously participate in Kaggle competitions and aim for top 20%.

Tasks:

  • Collect data
  • Train models
  • Submit solutions via API
  • Monitor leaderboard

🏊‍♂️ ML Estimation – How Many Pools in São Paulo?

Estimate the number of swimming pools in São Paulo using ML + satellite images.
Goal: Estimate the number of swimming pools in São Paulo using ML + satellite images.

Tasks:

  1. Sample rooftops from Google Maps or INPE
  2. Train a detector (>0.65 mAP) for pools
  3. Use statistics to extrapolate total count

Bonus:

  • Folium map with pool density
  • District-wise comparison

🧾 Voynich Manuscript Decoder Challenge

Use AI to decode the Voynich Manuscript, one of the most mysterious books in the world.
"The most beautiful thing we can experience is the mysterious." — Albert Einstein

Goal: Use AI to decode the Voynich Manuscript, one of the most mysterious books in the world, written in an unknown script and language.

Tasks:

  • Build a pipeline that ingests transcribed Voynich text (EVA or Takahashi transcription)
  • Use LLMs, embeddings, or custom models to find patterns, possible meanings, or linguistic structures
  • Try to match parts of the text with known languages, glyph frequencies, or hypothesized semantics

Input: Transcription file (e.g., voynich_eva.txt), Optional: XML or images from the Beinecke Library

Output Example:

{ "section": "Herbal A", "hypothesis": "This section might describe plant properties using a symbolic language.", "translation_attempt": { "line_1": "otedy qokeedy qokedy", "meaning": "plant root soak boil" } }

Requirements:

  • Use AI reasoning to explore unknown language or construct hypotheses
  • Provide clear logs of your process
  • Explain why you believe your approach may uncover meaning

Bonus Features:

  • Visual overlay of decoded terms on manuscript images
  • Model fine-tuned on similar ciphered texts
  • Timeline of symbol usage evolution across manuscript pages