Amazon ML Challenge 2025 - Smart Product Pricing
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Updated
Feb 21, 2026 - Jupyter Notebook
Amazon ML Challenge 2025 - Smart Product Pricing
A smart FAQ module that matches user queries with relevant answers.
A project to enhance ontology matching accuracy using Large Language Models (LLMs) like S-BERT.
Natural Language Processing (NLP) - History-related Question-Answering System
Quotes Explorer is a semantic quote search application that uses Sentence-BERT and FAISS to find quotes based on meaning rather than keywords. Built with Gradio, it offers a fast, intuitive interface for discovering inspirational and insightful quotes.
AI-powered training recommendation system built for BD Healthcare in February 2026. Generates personalised 5-module learning pathways in under 5 seconds using TF-IDF + Sentence-BERT embeddings, MMR re-ranking, and Qualiopi certification boosting. Handles cold-start profiles. Live Streamlit dashboard-Dataset available upon request
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