Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
This project applies sentiment analysis to Twitter data to understand consumer behavior towards different brands. By examining user-generated tweets about brands, we categorize the sentiment into positive, negative, and neutral. This allows businesses to assess their brand image in real-time, identify potential issues or crises, and track customer satisfaction. Through sentiment trends, companies can adapt their marketing and customer service strategies to improve consumer perception and engagement.
Create a simplified version of a packet sniffer using Scapy designed for educational purposes. This project includes basic functionalities such as capturing packets, displaying packet headers, and analyzing common protocols. It serves as an introduction to network monitoring and cybersecurity concepts. It can be used in schools or colleges to teach students about packet-level communication, network protocols, and how network traffic can be intercepted and analyzed.
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