Multi Authority Attribute Based Keyword Search Over Encrypted Cloud Data: In the era of pervasive cloud computing, where vast amounts of sensitive data are stored remotely, ensuring the confidentiality and privacy of this information has become a paramount concern. Many industries, including healthcare, finance, and government, are increasingly relying on cloud storage for data management, but the need to safeguard against unauthorized access has led to the exploration of advanced cryptographic techniques. One critical aspect of secure data management in the cloud is the ability to perform efficient keyword searches over encrypted data, particularly in scenarios involving multiple authorities responsible for managing different attributes. To address this challenge, this project introduces a Searchable Encryption scheme which can simultaneously enable users to search over outsourced encrypted data with only relevant encrypted documents.,
Tools and Techniques: HTML, Python, SQL
Bitcoin Price Prediction: It is the research to explore the feasibility and effectiveness of using deep learning, specifically LSTM for Bitcoin Price Prediction. By utilizing LSTM, which excels in handling sequential data, this project seeks to provide a more accurate model for predicting bitcoin price., Machine Learning