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# Tāpa-Darśan (ताप-दर्शन) - Vision of Heat | ||
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## Overview | ||
**Tāpa-Darśan** (ताप-दर्शन) is a project designed to measure, monitor, and track the real-time temperature of every city across India. With the aim of providing accurate and up-to-date temperature data, this project will serve as a platform for understanding the climate variations throughout the country. | ||
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The project uses a combination of weather data APIs, real-time data fetching, and cloud-based storage to continuously update and present the temperature information, offering insights into climate trends and helping decision-makers in various sectors. | ||
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## Features | ||
- **Real-Time Temperature Tracking**: Get live updates of the temperature for each city in India. | ||
- **Data Visualization**: View interactive graphs and heatmaps for temperature patterns. | ||
- **City-wise Temperature Data**: Monitor temperatures for multiple cities, with the ability to search by city name. | ||
- **Historical Data**: Analyze past temperature trends to understand the variation over time. | ||
- **Scalable Infrastructure**: Designed to handle the vast number of cities and real-time data updates. | ||
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## Technologies Used | ||
- **Weather APIs**: OpenWeatherMap, Weatherstack, or Climacell for real-time weather data collection. | ||
- **Backend**: Python, with libraries such as Pandas, NumPy for data processing and storage. | ||
- **Cloud Storage**: Firebase, AWS DynamoDB, or Google Cloud for real-time data storage and retrieval. | ||
- **Front-End**: React.js or HTML/CSS/JS for the web interface; Google Maps API or Leaflet.js for displaying city locations. | ||
- **Data Visualization**: Matplotlib, Plotly for creating dynamic charts and graphs. | ||
- **Task Scheduling**: Cron jobs or similar techniques to fetch and update temperature data at regular intervals. | ||
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Feel free to modify the installation and usage instructions based on your project specifics, like the exact API you use and any unique setup details. |