Research Work
In today’s healthcare landscape, the use of data and advanced technologies like machine learning has improved our understanding of diseases. However, lung cancer and pneumonia are still major health concerns worldwide. This project uses X-ray images and user input along with machine learning and deep learning techniques to predict these diseases early. It aims to make diagnosis faster and more accurate, potentially saving lives and improving patient care
The growth of data in the Industry 4.0 era has increased the importance of network security, particularly the CIA triad (confidentiality, integrity, availability). Intrusion Detection Systems (IDS) have been deployed to monitor and analyze network flow, identifying anomalies and intrusive data that firewalls might miss. However, high-volume, high-speed network traffic makes intrusion detection challenging, prompting the development of ML-based statistical models for better detection.
An Effective Query System Using LLMs and LangChain
Querying a PDF can be challenging due to its unstructured nature. LangChain addresses this with advanced natural language processing algorithms to analyze and extract essential information. It uses effective indexing, retrieval techniques, movable filters, and a simple search interface to enhance the search experience. LangChain also allows users to save queries, create bookmarks, and annotate sections, making PDF querying much easier and more efficient.
