Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
This project aims to use Twitter sentiment analysis to predict stock market trends. By analyzing public sentiment on Twitter related to specific stocks or market events, the project seeks to correlate sentiment with market movements. Machine learning algorithms are trained on historical stock prices and sentiment data to create predictive models that suggest how market sentiment could influence stock prices. The results of this project are beneficial for investors and traders, offering a new tool for stock market analysis based on real-time social media data.
Build a network monitoring and troubleshooting tool using Scapy. This project focuses on collecting network data, analyzing it for irregularities, and providing insights into the health of a network. Features include real-time packet capturing, latency and throughput analysis, and error detection. The tool will be useful for IT support teams to monitor network performance, troubleshoot connectivity issues, and optimize network infrastructure.
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