Weather Forecast System using Python Machine Learning (ML)

Weather Forecast System uisng Python ML
5.69$ 34.18$
  • INR: ₹ 499.00
Sale
View Demo

A complete Final Year Project on Loan Prediction System using Python Machine Learning  (ML) for BCA/MCA/B.Tech/M.Tech students. Includes source code, database, Final Year project report, diagrams (ER, DFD, Use Case), and PowerPoint presentation.

Weather Forecast System using Python Machine Learning  ML Project Package Includes:

  • Full Source Code of the project.
  • Project Report (in doc and pdf formats, 53 pages).
  • Project PPT

The project and Report are Downloadable immediately after payment is successful.

Category:
Weather Forecast System uisng Python ML
Weather Forecast System using Python Machine Learning (ML)
5.69$ 34.18$
  • INR: ₹ 499.00

There are no reviews yet.

Write a review

Your email address will not be published. Required fields are marked *

“Weather Forecast System” is a Django web-based application that combines the capabilities of real-time weather data retrieval from the OpenWeatherMap API with the predictive power of machine learning models. The system provides current weather details for any city, including temperature, humidity, pressure, and wind speed, and also predicts the next day’s temperature using an ML model trained on weather parameters. This predictive feature adds value to the user experience by going beyond simple data presentation.

Key Features of the Weather Forecast System

  1. Real-Time Weather Data Integration
    The system fetches live weather data such as temperature, humidity, wind speed, and atmospheric pressure using the OpenWeatherMap API. This ensures users always receive up-to-date and accurate weather information for any city they search.
  2. Machine Learning-Based Prediction
    Beyond real-time updates, the system incorporates a machine learning model that predicts the next day’s temperature based on input parameters. This predictive functionality makes the project more intelligent than conventional weather apps.
  3. Search History Management
    Every forecast query made is stored in the WeatherHistory database. Users can revisit past searches through a history page with a clean, paginated table, making it easier to track and analyze past forecasts.
  4. Custom Admin Panel
    Unlike the default Django admin, the system includes a dedicated admin dashboard that displays insights such as the total number of searches, today’s searches, yesterday’s searches, and searches from the last 7 days. This analytical view provides administrators with a clear picture of system usage.
  5. User Authentication and Profile Management
    Secure login/logout, password change, and profile update functionalities have been implemented for administrators, ensuring data security and controlled access.
  6. Attractive and User-Friendly Interface
    The system uses clean HTML, CSS, and styled tables with responsive design and background themes, making it visually appealing and easy to use.

⚙️ Technologies Used:

  • Programming Language: Python

  • Machine Learning Libraries: Scikit-learn, Pandas, NumPy

  • Data Visualisation: Matplotlib, Seaborn

  • Database: SQLite/ CSV dataset

  • Frontend: Django

  • IDE: VS Code / PyCharm

Related products