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This repository is about my semester project related to the course Big Data Analytics. I developed a recommendation system engine based on Hotel Reviews Dataset. Read more about the implementation in markdown file.
Example to help understand how to use hugging face sentance_transformers to encode searchable text into embeddings AND how to use cosine similarity search to determine similarity between a search prompt and the embeddings
Performing K-means clustering on MNIST data from scratch. Instead of using Euclidean distance metric, I have used Cosine Similarity as distance metric. Clustering is done in 10, 7, and 4 clusters for analysis.
This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include: Job and Resume Matching and LLM powered chatbot