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ෆ♡ෆ ʚ(｡˃ ᵕ ˂ )ɞ

✰𝑨𝑰 𝑺𝑪𝑯𝑬𝑴𝑨 𝑭𝑶𝑹 𝑬𝑼𝑺𝑶𝑵𝑼𝑺✰

🪷 Level 3 🪷

Mood-based🌞Harmonization

⭐Objective⭐

⭐ Allow users to select a desired mood, and the AI will harmonize the sound accordingly

🦋Tasks🦋

Create a mood selection interface.

🐛 Design mood-specific harmonization algorithms (e.g., calm, energetic, melancholic).

🐛 Test the mood-based harmonization with user feedback.

Level 3: Mood-based Harmonization

3.1 Mood Selection Interface

  • Task: Design an interface where users can select their desired mood.

  • Roadmap:

    • Define a set of moods (e.g., calm, energetic, melancholic).

    • Design a user-friendly interface for mood selection.

    • Integrate the mood selection into the experience.

3.2 Mood-specific Harmonization Algorithms

  • Task: Develop algorithms to harmonize sound based on the selected mood.

  • Roadmap:

    • Design specific harmonization rules or scales for each mood.

    • Implement the mood-specific algorithms into the experience.

    • Test each mood's harmonization to ensure it aligns with the intended emotion.

3.3 User Feedback on Mood Harmonization

  • Task: Gather user feedback on the mood-based harmonization.

  • Roadmap:

    • Implement a feedback mechanism specific to mood harmonization.

    • Use the feedback to refine and improve the mood-specific algorithms.

    • Continuously update the algorithms based on user feedback.

3.4 Continuous Learning and Refinement

  • Task: Allow the AI to adapt and refine the harmonization based on continuous user interactions

  • Roadmap:

    • Implement machine learning algorithms that can adapt based on user feedback.

    • Continuously train the model with new data and feedback.

    • Regularly update the mood-based harmonization algorithms based on new insights.