01 Source Code Only
One-time Payment
- Complete project source code
- Database / data resources
- Dependencies & configuration
- README / setup guide
- Instant download access
Complete final-year project source code with frontend, backend, database and setup documentation. Instant download after secure payment.
Simple pricing. Instant access. Secure checkout.
01 Source Code Only
One-time Payment
02 Code + Setup Support
One-time Payment
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.
Admin Account
adminAdmin@123Demo User Accounts
johnsmith, emmawilsonUser@123Required dataset columns:
Name, Sex, Age, NOC, Sport, Event, Year, Medal
The project supports multiple chart types:
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
Admin Account
adminAdmin@123Demo User Accounts
johnsmith, emmawilsonUser@123