Local Weather Prediction Project

Overview: Build an ML model to predict tomorrow's temperature in your city using historical weather data and your own observations.

Data Collection:

Historical Data:

• WeatherAPI (free tier)
• OpenWeatherMap API (free tier)

Your Observations (3 days):

    Record 3x daily (morning, afternoon, evening):

    Temperature

    Cloud cover (clear/partly/cloudy)

    Wind (calm/breezy/windy)

    Any precipitation

    Take a sky photo each time

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Required Project Elements:

Data Collection

Set up a simple spreadsheet for your 3-day observations

    Take sky photos with each observation

    Download 6 months of historical data for your city

    Document any unusual weather events

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Model Building

    Clean and combine your data

    Use k-NN to predict next day's temperature

    Compare predictions with actual temperatures

    Document what features seemed most important

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Presentation

    Create a 2-minute video showing:

    Your data collection process (show your photos!)

    Walk through one prediction attempt

    Share what surprised you about weather patterns

    Explain any challenges you faced

    Keep it casual but informative

    Show your personality!

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Required Tools:

    Python (with numpy, pandas, scikit-learn)

    Phone/camera for photos

    Spreadsheet for data recording

    Weather API access (free tier)