Yogesh Jadhav

This research paper delves into the effectiveness and accessibility of India's National Cyber Crime Reporting Portal in combating financial cybercrimes. Through a multi-faceted approach encompassing statistical analysis, citizen surveys, and case studies, the study aims to identify strengths, weaknesses, and areas for improvement. Quantitative data derived from official crime reports and a comprehensive citizen survey provide insights into public awareness, usage patterns, and perceptions of… Show more

This research paper delves into the effectiveness and accessibility of India's National Cyber Crime Reporting Portal in combating financial cybercrimes. Through a multi-faceted approach encompassing statistical analysis, citizen surveys, and case studies, the study aims to identify strengths, weaknesses, and areas for improvement. Quantitative data derived from official crime reports and a comprehensive citizen survey provide insights into public awareness, usage patterns, and perceptions of the portal. Key findings reveal the portal's current impact on reporting financial cybercrimes and shed light on factors influencing its efficacy. Additionally, qualitative insights from interviews with law enforcement and cybersecurity experts, along with selected case studies, offer a nuanced understanding of real-world scenarios. The analysis culminates in actionable recommendations aimed at bolstering the portal's effectiveness and accessibility in addressing financial cybercrimes, thereby fortifying India's cybersecurity infrastructure. Show less

Credit card fraud has become a prevalent issue in today's digital world, resulting in substantial economic and financial losses. Traditional rule-based fraud detection methods have proven to be ineffective in combating this problem promptly and accurately. Therefore, this research aims to explore the potential of predictive analytics and machine learning techniques in detecting credit card fraud. By utilizing these advanced methods, we can enhance fraud detection accuracy and efficiency… Show more

Credit card fraud has become a prevalent issue in today's digital world, resulting in substantial economic and financial losses. Traditional rule-based fraud detection methods have proven to be ineffective in combating this problem promptly and accurately. Therefore, this research aims to explore the potential of predictive analytics and machine learning techniques in detecting credit card fraud. By utilizing these advanced methods, we can enhance fraud detection accuracy and efficiency, ultimately reducing the impact of fraudulent activities on individuals and financial institutions. Show less

This review paper discusses the intersection of data science and machine learning, exploring how these fields are used to gain insights, automate processes, and make informed decisions. The paper provides an overview of the three main categories of machine learning (supervised learning, unsupervised learning, and reinforcement learning) and several commonly used algorithms, their strengths, and limitations. Recent advancements in the field, such as deep learning techniques, are also discussed… Show more

This review paper discusses the intersection of data science and machine learning, exploring how these fields are used to gain insights, automate processes, and make informed decisions. The paper provides an overview of the three main categories of machine learning (supervised learning, unsupervised learning, and reinforcement learning) and several commonly used algorithms, their strengths, and limitations. Recent advancements in the field, such as deep learning techniques, are also discussed. Practical examples of implementing machine learning algorithms in Python using the scikit-learn library are given. The paper concludes by highlighting the importance of ethical considerations when using machine learning techniques and the need for continued research and development in the field. Show less

The use of blockchain technology is gaining traction in various industries, including agriculture. In India, where the agriculture sector plays a crucial role in the economy, the adoption of blockchain technology has the potential to improve supply chain transparency and traceability. This study aims to investigate the feasibility and potential benefits of using blockchain technology in the agriculture industry in India. The research will be conducted through a literature review, interviews… Show more

The use of blockchain technology is gaining traction in various industries, including agriculture. In India, where the agriculture sector plays a crucial role in the economy, the adoption of blockchain technology has the potential to improve supply chain transparency and traceability. This study aims to investigate the feasibility and potential benefits of using blockchain technology in the agriculture industry in India. The research will be conducted through a literature review, interviews with industry experts, and case studies of existing blockchain-based agriculture projects. The findings of this study will provide insights into the potential benefits and challenges of implementing blockchain technology in the Indian agriculture sector. This research will contribute to the ongoing debate on the role of blockchain technology in improving supply chain transparency and traceability in the agriculture industry. Show less