🎥 StreamiManga: A Dive into Anime Data, Quizzes, Recommendations, and Creativity! 🎌

Welcome to StreamiManga, the ultimate anime hub where data analysis meets creativity! 🚀 Whether you're here to analyze viewing trends, test your anime knowledge, discover tailored anime recommendations, or generate your dream anime character, this app has you covered. 🌟

Access the app here.
The API used: here & The Kaggle Database: here !

🌟 Features

1. 📊 Who Watches Animes?
   Explore anime viewership statistics and trends!

   • Gender-based analysis of viewers.
   • Distribution of anime types.
   • Average scores and popularity insights.
   • Deep dives into individual anime performance.

2. 🎮 Let's Take a Quiz!
   Test your anime character knowledge with our fun quiz.

   • Choose your favorite anime or go for a mixed bag.
   • Guess characters based on blurred images and hints.
   • Track your score and challenge yourself to improve!

3. 🙋🏻‍♀️ Wants Some Recommendations?
   Discover your next favorite anime powered by cutting-edge machine learning!

   • Input your favorite anime.
   • Get personalized recommendations using genre weighting and similarity analysis.
   • View essential details like scores, episodes, and genres.

4. 🧚🏼 Generate Your Anime Character!
   Bring your anime imagination to life!

   • Enter a prompt and watch as your dream character appears.
   • Use state-of-the-art AI for high-quality character generation.
   • Save and download your creation.

5. 👋 Welcome Dashboard
   An intuitive entry point to the app.

   • Switch between English and Japanese.
   • Browse trending anime with trailers and user stats.
   • Get a quick overview of everything StreamiManga offers.

⚙️ Methods Used

🛠️ Data Analysis and Visualization

• Tools: Streamlit, Pandas, Plotly.
• Key Visuals:
  • Bar charts for anime type distribution.
  • Pie charts for gender-based viewer demographics.

🎲 Interactive Quiz

• Logic:
  • Randomized questions with dynamic image blurring using PIL.
  • Multiple-choice answers and hints.
• Score Tracking: View results instantly after each question.

🔮 AI-Powered Recommendations

• Machine Learning Techniques:
  • Feature Engineering: One-hot encoding and standardization.
  • Similarity Analysis: Locality Sensitive Hashing (LSH) for cosine similarity.
• Dynamic Weighting: Emphasis on matching genres to tailor results.

🎨 Character Generation

• Model: Ojimi/anime-kawai-diffusion from the Hugging Face hub.
• Pipeline: Diffusion-based generative AI.
• Customizable Inputs: Prompt-based generation with optional negative constraints.

🎨 Example: Anime Character Generation

Here are some examples of anime characters generated using the StreamiManga app:

🧩 Dependencies

• Python packages (see requirements.txt):
  • streamlit, pandas, numpy, torch, diffusers, plotly, scikit-learn, etc.
• Java environment for PySpark:
  • default-jre, default-jdk.

📂 Project Structure

📂 streamimanga/
├── 📁 images/ 
├── 📁 data/                 # Data files for anime, characters and users
├── 📄 1_📺_Who_Watches_Animes_?.py
├── 📄 2_㉄_Let's_take_a_quiz!.py
├── 📄 3_🙋🏻‍♀️_Wants_Some_Recommandations?.py
├── 📄 4_🧚🏼_Generate_your_anime_character!.py
├── 📄 Welcome.py
├── 📄 requirements.txt
└── 📄 README.md

📜 License

This project is licensed under the MIT License.

Enjoy exploring the magic of anime! 💖✨