In India, women bear a greater share of the burden of poverty than males. Talk about the causes of women’s poverty in this context, as well as the initiatives being taken to combat it. (Answer in 200 words)
Developing AI-driven traffic management systems poses several challenges, including: 1. Data Integration: Integrating diverse data sources (e.g., traffic cameras, sensors, GPS data) into a cohesive system can be complex due to varying formats and quality. 2. Real-Time Processing: Processing large voRead more
Developing AI-driven traffic management systems poses several challenges, including:
1. Data Integration: Integrating diverse data sources (e.g., traffic cameras, sensors, GPS data) into a cohesive system can be complex due to varying formats and quality.
2. Real-Time Processing: Processing large volumes of data in real-time to make instant traffic management decisions requires robust computational power and efficient algorithms.
3. Accuracy and Reliability: Ensuring AI models accurately predict traffic patterns and congestion is crucial for effective decision-making and user trust.
4. Scalability: Adapting systems to handle varying traffic loads and expanding coverage areas without compromising performance is challenging.
Strategies to address these challenges include:
1. Data Standardization: Implementing data standardization protocols to ensure compatibility and consistency across different data sources.
2. Advanced Algorithms: Developing and refining AI algorithms (e.g., machine learning models) to improve prediction accuracy and optimize traffic flow.
3. Edge Computing: Utilizing edge computing to process data closer to the source, reducing latency and enhancing real-time decision-making capabilities.
4. Cloud Infrastructure: Leveraging cloud infrastructure for scalability, enabling systems to handle increasing data volumes and expand geographically.
5. Continuous Monitoring and Feedback: Implementing systems for continuous monitoring, feedback, and improvement based on real-world performance data.
By addressing these challenges with strategic technological solutions, AI-driven traffic management systems can effectively optimize traffic flow, enhance safety, and improve overall urban mobility.
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Gender inequality is one of the most pervasive forms of inequality. Across India, gender inequality results in unequal opportunities, and while it impacts the lives of both genders, statistically it is girls and women that are the most disadvantaged. For instance, according to the Global Gender GaprRead more
Gender inequality is one of the most pervasive forms of inequality. Across India, gender inequality results in unequal opportunities, and while it impacts the lives of both genders, statistically it is girls and women that are the most disadvantaged. For instance, according to the Global Gender Gapreport 2021, the estimated earned income of women in India is only one-fifth that of men’s, which severely undermines their purchasing power, devalues their work and signifies that women are more likely to live in poverty.
Causes of poverty among women in India include: