The team proposes to develop an Indigenous Crypto Currency Investigation Tool to help analyze blockchain transactions and identify potential criminal activity. The tool would include features such as a blockchain explorer to search transactions across platforms, a wallet tracker to monitor fund movements, an automated risk assessment system, smart contract analysis, pattern recognition algorithms, and user identity verification. The team of 6 students from Bannari Amman Institute of Technology aims to build the tool using Python, JavaScript, cryptography libraries, blockchain APIs, distributed databases, machine learning frameworks, and cloud computing services. The academic mentor's area of expertise is data science.