Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
This project involves using natural language processing (NLP) and machine learning techniques to analyze sentiment in tweets related to nonprofit causes. By collecting real-time data from Twitter through the Twitter API, we aim to understand public sentiment about nonprofit organizations, charity events, and social causes. The sentiment analysis will categorize tweets into positive, neutral, and negative sentiments, allowing nonprofits to track public opinion and assess their outreach efforts. It also helps organizations understand how their campaigns resonate with their audience, providing actionable insights to improve engagement and outreach strategies.
Develop a packet sniffer tool using Python and the Scapy library, replicating Wireshark’s basic functionality. The tool captures and analyzes network packets, offering insights into network traffic, protocols, and communication patterns. It provides real-time packet inspection, packet filtering, and protocol analysis, helping users understand network performance and troubleshoot issues. Ideal for network administrators and cybersecurity professionals monitoring traffic in real time.
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