aymane-maghouti/Big-Data-Project
This project aims to predict smartphone prices using a combination of batch and stream processing techniques in a Big Data environment. The architecture follows the Lambda Architecture pattern, providing both real-time and batch processing capabilities to users.
This project helps businesses and analysts understand and predict smartphone prices. It takes in live smartphone market data and historical sales information, then provides real-time price estimations and historical pricing trends through interactive dashboards. It's ideal for market researchers, product managers, or sales strategists who need current and long-term pricing insights.
No commits in the last 6 months.
Use this if you need to monitor smartphone prices as they change, understand past pricing patterns, and forecast future costs for strategic planning.
Not ideal if you're looking to predict prices for products other than smartphones or require highly customized, niche market analysis beyond general pricing.
Stars
24
Forks
4
Language
Python
License
—
Category
Last pushed
Apr 15, 2024
Commits (30d)
0
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