🌌 DataVerse: Advanced Analytical Suite

DataVerse is a comprehensive collection of AI-powered analysis applications and machine learning tools, all unified under a single, professional interface. 🚀

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🚀 Key Applications

🧹 Cleaning Assistant Pro

AI-powered data cleaning with smart imputation, anomaly detection, and privacy protection.

• Features: PII preservation, LLM-based anomaly detection, schema inference, and quality reporting.
• File: cleaning_assisstant.py

📈 Stock Analyzer

Multi-indicator financial analysis with real-time data and prediction models.

• Features: TA indicators (RSI, MACD, Bollinger), Sentiment analysis from news, and Random Forest price prediction.
• File: stock.py

🎵 Music Analyzer Pro

Deep audio analysis using advanced feature extraction and machine learning.

• Features: Genre classification (MFCC), Cross-modal similarity, Playlist generation, and Style Transfer suggestions.
• File: music.py

🎭 Sentiment Analyzer Pro

Advanced text analysis beyond basic polarity.

• Features: Aspect extraction, Emotion detection (Joy, Anger, Trust, etc.), Topic modeling, and Trend forecasting.
• File: sen.py

🌳 Decision Tree Explorer

Interpretable machine learning visualization and analysis.

• Features: SHAP value analysis, Counterfactual explanations, Tree pruning, and Model Distillation.
• File: decision_tree.py

🧬 AI Cluster Vision

Multi-algorithm clustering visualization.

• Features: KMeans, DBSCAN, Agglomerative, Elbow method analysis, and 3D space visualization.
• File: cluster.py

🛒 Association Rules (Market Basket)

Discover relationships between variables in large datasets.

• Features: Frequency itemset discovery, AI-generated rule insights, and network relation graphs.
• File: association_rules.py

🎥 Movie Recommendation System

Personalized content discovery engine.

• Features: TF-IDF similarity, Genre filtering, and TMDB integration.
• File: movie.py

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🛠️ Technology Stack

• Core Framework: Streamlit
• Data Manipulation: Pandas, NumPy, SciPy
• Machine Learning: Scikit-Learn, SHAP, UMAP, XGBoost
• Visualization: Plotly, Seaborn, Matplotlib, NetworkX
• Audio Processing: Librosa, Soundfile
• Natural Language Processing: TextBlob, WordCloud, OpenAI GPT-4o
• Finance: yfinance, ta (Technical Analysis Library)

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📥 Installation

1. Clone the repository:

   git clone https://github.com/GZ30eee/DataVerse.git
   cd DataVerse

2. Install dependencies:

   pip install -r requirements.txt

3. Set up Secrets: Create a .streamlit/secrets.toml file with your API keys:

   [openai]
   api_key = "YOUR_OPENAI_KEY"
   
   [newsapi]
   api_key = "YOUR_NEWS_API_KEY"

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🚀 How to Run

Launch the unified dashboard:

# Open the main portal (HTML based)
main.html

Or run any specific application directly:

streamlit run <app_name>.py

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🛡️ License

Distributed under the MIT License. See LICENSE (if any) for more information.

Developed by Ghanshyamsinh Zala 👨‍💻