Data Analysis Web App
Upload your CSV/XLSX file, analyze your data, and get ML-based predictions. Includes user accounts and PDF report generation.
Project Overview
This web app allows users to upload datasets in CSV or Excel format, perform detailed data analysis, visualize trends, and predict outcomes using machine learning models. Users can also register accounts, log in, and download analysis results as a PDF report. The system combines data cleaning, visualization, and ML prediction in an interactive, user-friendly interface.
App Screenshots
Sign In / Registration
Home Dashboard
Data Dashboard
Data Analysis
ML Prediction
Upload Data File
Result as PDF Report
Key Features
- Upload CSV or Excel files and preview dataset
- Data cleaning and preprocessing utilities
- Interactive data visualizations: charts, distributions, trends
- Machine learning predictions using models like Random Forest, Logistic Regression, or XGBoost
- Account registration and authentication for secure access
- Export analysis results and predictions as PDF reports
- Reusable utility functions for data analysis, ML, and PDF generation
Source Code Links
📂 Utilities & ML:
- data_analysis.py — Data analysis functions
- ml_models.py — Machine learning models and prediction utilities
- pdf_generator.py — PDF report generation functions
📂 Authentication & Account:
- auth/forms.py — User registration/login forms
- auth/models.py — User account models
- auth/routes.py — Authentication routes
📂 Data Upload & Analysis Routes:
📂 Main App Routes:
Portfolio Highlight
This project demonstrates full-stack development skills with Flask, data analysis capabilities using Python, and integration of machine learning predictions with interactive visualizations. It is ideal for showcasing expertise in building user-friendly, data-driven web applications that combine analytics, ML, and report generation.