A complete, production-ready AI & ML platform for automateddata visualization, prediction, and PDF reporting.Developed by Aluvala Ediga Harsha Vardhan Goud (MCA)

DataSci is an intelligent AI-based data analysis system that enables anyone to upload a CSV file and instantly receive:

• Cleaned and analyzed data

• Automated visualizations

• Machine learning predictions

• Accuracy / R² score evaluation

• Printable PDF reports

• Firebase-secured user profiles

• Cloud-hosted, polished web interface

• Email/password authentication

• Firestore user profile storage

• Cloud-safe session handling

• Auto-detect encoding

• Auto-fix missing values

• Auto-convert numeric columns

• Preview first 20 rows

Supported Chart Types:

• Scatter — Compare numeric relationships

• Line — Trend and time-series analysis

• Bar — Category comparison

• Histogram — Distribution patterns

• Heatmap — Correlation matrix

• Linear Regression

• Decision Tree Regression

• Random Forest Regression

• KNN Regression

• Support Vector Regression (SVR)

• Logistic Regression

• Decision Tree Classifier

• Random Forest Classifier

• KNN Classifier

• Support Vector Machine (SVM)

• KMeans (3 clusters)

• KMeans (5 clusters)

• Train/Test split

• StandardScaler normalization

• Label encoding

• Automated prediction output

• Visualization report

• Prediction metrics report

• Branded header & footer

• Embedded PNG charts

• Clean tabular formatting

• HTML5

• CSS

• Bootstrap

• Jinja2

• Plotly.js

• Python 3.11

• Flask

• Pandas

• NumPy

• Scikit-Learn

• ReportLab

• Firebase Authentication

• Firebase Firestore

• Render (Deployment)

{
  "FIREBASE_WEB_CONFIG": "{...}",
  "FIREBASE_ADMIN_JSON": "{...}",
  "FLASK_SECRET": "your-secret-key",
  "PORT": "5000"
}

git clone https://github.com/Aluval/DataSci.git
cd DataSci
pip install -r requirements.txt
python app.py