During my internship at SOMIKORON AI, I played a key role in developing a sophisticated news recommendation system. This project focused on collecting and delivering news related to Bangladesh from renowned newspapers worldwide using Natural Language Processing (NLP) techniques.Key Responsibilities:Data Collection and Preprocessing:Scraped news articles from various international newspapers and news websites.Cleaned and preprocessed the collected data, including removing duplicates, normalizing text, and handling missing values.Implemented techniques for language detection and translation to ensure the inclusion of news from non-English sources.Natural Language Processing (NLP):Utilized NLP techniques to analyze and categorize news articles based on relevance to Bangladesh.Employed named entity recognition (NER) to identify key entities such as places, people, and organizations related to Bangladesh.Applied sentiment analysis to gauge the tone and sentiment of the news articles.Recommendation Algorithm:Designed and developed a recommendation algorithm to personalize news delivery based on user preferences and reading history.Implemented collaborative filtering and content-based filtering methods to enhance recommendation accuracy.Fine-tuned the algorithm using machine learning models to ensure high relevance and user satisfaction.