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Olympic Games Data Analysis Final Year Project with Source Code

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Complete final-year project source code with frontend, backend, database, and setup guide. Instant download after secure payment.

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  • Complete project source files
  • Database script included
  • How-to-run guide
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Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

Olympic Games Data Analysis is a Python Flask based final year project developed for exploring Olympic medal distributions, participation trends, and athlete performance using CSV/Excel datasets. This major project includes user-side and admin-side modules. Users can sign up, log in, manage profile, upload profile image, view datasets, preview datasets, select datasets for analysis, perform medal analysis, participation analysis, athlete search, age distribution analysis, generate bar charts, line charts, pie charts, save visualizations as PNG, create reports, add analysis results to reports, and download PDF reports. Admin users can manage project branding, datasets, users, analysis configuration, report templates, audit logs, and system settings. This Olympic Games Data Analysis source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, Flask, Pandas, Matplotlib, data analytics, and visualization.

Technical snapshot

Project
Olympic Games Data Analysis Final Year Project with Source Code
Stack
DATA-ANALYTICS
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Ready to download?Pay once · Use for submission & viva

Admin Features

Modules and controls available to administrators

  • Admin login in this final year project
  • Admin dashboard
  • Brand management
  • Update project title
  • Update college name
  • Update department name
  • Manage theme colors
  • Upload project logo
  • Dataset management
  • Upload CSV datasets
  • Upload Excel datasets
  • Validate dataset format
  • Clean dataset records
  • Activate datasets
  • Deactivate datasets
  • User management
  • View registered users
  • Activate users
  • Deactivate users
  • Reset user password
  • Delete users
  • Analysis configuration
  • Enable analysis modules
  • Disable analysis modules
  • Set default analysis options
  • Report template management
  • Configure report cover page
  • Configure report metadata
  • Configure report methodology section
  • Audit log management
  • Track login activities
  • Track dataset activities
  • Track report activities
  • System settings
  • Configure maximum file size
  • Backup setting support

User Features

What end users can do in this application

  • User signup in this final year project
  • User login
  • User logout
  • Forgot password using security question and answer
  • Change password
  • View profile
  • Update profile
  • Upload profile image
  • View available datasets
  • Preview dataset records
  • Select dataset for analysis
  • Medal analysis
  • Participation analysis
  • Athlete search
  • Age distribution analysis
  • Generate bar charts
  • Generate line charts
  • Generate pie charts
  • Save charts as PNG
  • Create analysis reports
  • Add analysis results to report
  • Download report as PDF
  • View sports analytics output
  • Explore Olympic medal trends
  • Analyze athlete participation patterns
  • Study Olympic performance records

Other Features

Additional capabilities included in the project

Analysis Features in this Final Year Project

  • Olympic medal distribution analysis
  • Country-wise medal analysis
  • Sport-wise medal analysis
  • Year-wise medal analysis
  • Athlete performance analysis
  • Athlete search module
  • Olympic participation trend analysis
  • Age distribution analysis
  • Dataset preview before analysis
  • CSV/Excel based data processing
  • Matplotlib-based chart generation
  • PNG chart export
  • PDF report generation
  • Report-ready analytics output

Dataset Management Features in this Final Year Project

  • Upload Olympic dataset
  • Validate required columns
  • Clean uploaded dataset
  • Activate dataset for users
  • Deactivate dataset
  • Preview dataset data
  • Select dataset for analysis
  • Support CSV files
  • Support Excel files

Required dataset columns:


 
Name, Sex, Age, NOC, Sport, Event, Year, Medal

Visualization Features in this Final Year Project

The project supports multiple chart types:

  1. Bar Chart
    Used for medal comparison, country-wise distribution, sport-wise distribution, and category-based analysis.
  2. Line Chart
    Used for participation trends, year-wise performance, and Olympic timeline analysis.
  3. Pie Chart
    Used for medal share, gender distribution, sport distribution, or summarized categorical comparisons.
  4. PNG Export
    Generated charts can be saved as PNG images for reports, presentations, and viva demonstration.

Report Features in this Final Year Project

  • Create user reports
  • Add selected analysis outputs to report
  • Add chart-based analysis to report
  • Generate PDF report
  • Download PDF report
  • Admin-controlled report template
  • Cover page support
  • Metadata support
  • Methodology section support
  • Suitable for project report submission

Other Features in this Final Year Project

  • Complete Olympic Games Data Analysis source code
  • Suitable for final year project, major project, and minor project
  • Project report content can be prepared from included modules
  • Flask web application
  • User authentication
  • Admin authentication
  • User profile management
  • Admin panel
  • Dataset upload and management
  • Data validation and cleaning
  • Medal analysis
  • Participation analysis
  • Athlete search
  • Age distribution analysis
  • Bar, line, and pie charts
  • PNG chart saving
  • PDF report download
  • Audit logs
  • Backup setting support
  • Useful for viva, source code review, project report writing, and project demonstration

How to Run

Step-by-step setup on your laptop or PC

  • Open terminal in the project folder:

    
 
    cd "olympic-games-data-analysis"

  • Create virtual environment:

    
 
    python -m venv venv

  • Activate virtual environment on Windows:

    
 
    venv\Scripts\activate

  • Install dependencies:

    
 
    pip install -r requirements.txt

  • Seed the database:

    
 
    python seed_data.py

  • Run the application:

    
 
    python run.py

  • Open the project in browser:

    
 
    http://localhost:5000

Login Credentials

Default demo accounts for testing after setup

Admin Account

  • Username: admin
  • Password: Admin@123

Demo User Accounts

  • Username examples: johnsmith, emmawilson
  • Password: User@123

License

Usage terms for academic and personal projects

Related Tags

Search terms and categories for this source code

Olympic Games Data Analysis Final Year Project with Source Code Source Code Final Year DATA-ANALYTICS Project Ready-to-Run Code With Database File Plagiarism-Free Faculty Approved final year project major project minor project source code project report Olympic Games Data Analysis Olympic medal analysis project sports data analytics project athlete performance analysis participation trend analysis Flask data analysis project Python data analytics project Matplotlib visualization project Olympic dataset project PDF report generation project

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