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Road Accident Analysis: Relations and Time Intelligence

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₹4,999.00

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Detail Description

Abstract

Road Accident Analysis is a data analytics project that examines accident data to identify patterns related to time, location, weather, and human factors. Using data visualization and machine learning, the system uncovers relationships and time-based trends to help authorities improve road safety measures and reduce accident rates.


Existing System

  1. Manual accident report analysis
  2. Static charts and spreadsheets
  3. Limited historical trend analysis


Proposed System

  1. Data analytics platform with time intelligence
  2. Identifies accident trends by hour, day, season, and location
  3. Visual dashboards and predictive insights


Software Requirements

  1. Python
  2. Pandas, NumPy
  3. Matplotlib / Seaborn / Plotly
  4. Scikit-learn
  5. Power BI / Tableau (optional)
  6. Jupyter Notebook / VS Code


Hardware Requirements

Minimum:

  1. Intel i3, 4GB RAM

Recommended:

  1. Intel i5/i7, 8GB+ RAM


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Road Accident Analysis: Relations and Time Intelligence
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