Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
This project focuses on tracking and analyzing the public sentiment surrounding fashion trends as discussed on Twitter. By using NLP techniques and sentiment classification models, we aim to assess how the public feels about emerging styles, fashion designers, and collections. The project helps fashion brands understand the popularity of their products, identify key influencers in the industry, and track how new trends are received by different demographic groups. Analyzing these sentiments can provide valuable insights into consumer preferences and help predict future fashion trends.
Implement a network packet sniffer using Scapy to monitor and analyze network traffic for security threats, enabling administrators to identify and mitigate potential security vulnerabilities. This project emphasizes real-time monitoring, alerting for suspicious packets, and generating detailed logs for audits. The tool can be extended with threat detection algorithms to automatically flag malicious activities such as DDoS attacks, unauthorized access attempts, or data exfiltration.
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