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A complete guide to NLP and ML for text processing, covering rule-based models, RNNs, CNNs, Transformers, entity detection, sentiment analysis, LLM fine-tuning, RAG, and prompt engineering with tools like Langchain and Ollama.
This project is to maintain the transport system of the university. The rest api is developed with spring boot. The rest api provides api's for the mobile app. The admin web interface is developed with react.
A RESTful API to create syllabus. It allows to create curse types(Theory, Laboratory, Viva etc) and corresponding input forms for the courses. Syllabus is stored as XML. The CRUD operation in the XML Database is handled with BaseX.
This project is a simple implementation a knowledge-based system. It is a ChatBot. There a prolog file that defines the knowledge and questions are handled with python. The key idea is mapping different questions for same answer.