In this 4-week IBM SkillsBuild internship, I gained foundational skills in Data Science, Artificial Intelligence, and Cloud Technologies, which I applied by developing a movie recommendation chatbot. This project gave me hands-on experience in building AI-driven solutions and deploying them on IBM Cloud, significantly advancing my understanding of both technical concepts and practical applications.Project OverviewI created an AI-powered chatbot for movie recommendations, designed to understand and respond to users’ preferences and mood through IBM Watson Assistant. The goal was to enhance user engagement by providing relevant, personalized movie suggestions.Key Learnings & Technical SkillsAI & Machine Learning Concepts:Understood and implemented key AI principles, particularly around natural language processing (NLP) to build conversational systems.Explored data science techniques for gathering, cleaning, and processing data, ensuring high-quality, contextual responses.IBM Watson Assistant & Chatbot Development:Developed and deployed a chatbot using IBM Watson Assistant, which allowed me to integrate pre-trained NLP models to recognize and interpret user intents and preferences.Configured intents and entities specific to movie recommendation needs, such as genre, actors, and mood-based suggestions, which enabled the chatbot to deliver tailored results.Data Processing & Analysis on IBM Cloud:Worked with IBM Cloud's data storage and processing tools to manage data efficiently and support the scalability of the chatbot.Leveraged data management capabilities to preprocess and structure data, making the chatbot more responsive and relevant in its recommendations.Cloud Computing & Deployment:Gained exposure to IBM Cloud, learning how to manage and deploy applications on a scalable platform.Worked with IBM’s cloud infrastructure to ensure the chatbot could handle real-time queries and provide consistent responses.