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Chicillo: AI-Driven Recycling Assistant

Chicillo is a smart, interactive assistant designed to guide users in recycling materials effectively while inspiring them to repurpose waste through creative DIY projects. By leveraging AI, Chicillo aims to make recycling personalized, accessible, and engaging, fostering creativity and environmental sustainability.


🚀 Features

  • Personalized Suggestions
    Enter the type of waste (e.g., glass, cardboard, plastic) to receive tailored DIY project ideas.

  • Step-by-Step Guidance
    Detailed instructions, including tools needed, estimated time, and difficulty level.

  • AI-Powered Recommendations
    Dynamic, growing library of ideas customized to user inputs.

  • Localized Interaction
    Supports multiple languages, including Darija, for better user engagement.


🛠️ How It Works

  1. Input Waste Material
    Users specify the type of recyclable material they have.

  2. Get Creative Ideas
    Chicillo analyzes the input and suggests innovative DIY projects to upcycle the material.

  3. Follow Easy Instructions
    Step-by-step, interactive guidance to turn waste into valuable, usable items.


📊 Project Highlights

  • Problem Addressed

    • Only 10% of waste in Morocco is recycled.
    • Lack of creativity and guidance hinders DIY recycling efforts.
  • Our Solution

    • A user-centric AI tool that combines creativity with environmental action.

🎯 Competitor Analysis

  • TerraCycle: Focuses on hard-to-recycle items but lacks general user accessibility.
  • Pinterest/YouTube: Rich content but no AI-guided or personalized support.
  • ZenRobotics/AMP Robotics: Industrial-scale AI tools, inaccessible for individuals.

Chicillo bridges the gap by offering interactive and customized DIY guidance.


🗺️ Roadmap

  • Months 1–2: Develop the first functional prototype and integrate localized support (e.g., Darija).
  • Months 3–4: Beta testing with AI clubs and environmental associations.
  • Months 5–6: Official launch with marketing campaigns and partnerships with eco-friendly brands.

🧑‍💻 Team

  • Ossama El Abbass
  • Hassan Fares
  • Aly Guinga
  • Zayd El Ouaragli
  • Mosab Nassiri

📂 Resources

  • Trained Dataset: A high-quality dataset powers Chicillo’s recommendation engine for accurate and creative suggestions.
  • Pitch Video: Check out the demo on Drive

🤝 Call to Action

We are looking for partnerships with eco-friendly brands, funding for platform development, and collaborations to scale Chicillo. Join us in empowering creativity through recycling!


Feel free to contribute or provide feedback to help us improve Chicillo.


Thank you for supporting a greener future!

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