Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.
Chatbot Using Artificial Intelligence:
Developed an AI-driven chatbot as part of a Bachelor's project, utilizing Natural Language Processing (NLP) and Machine Learning (ML) to enable intelligent, human-like conversations. The chatbot was designed to assist users by understanding queries, providing relevant responses, and facilitating healthcare-related interactions. Implemented key AI techniques such as intent recognition, entity extraction, and pattern matching using Python, NLP libraries, and AIML. The project focused on improving user engagement, automating responses, and enhancing efficiency in customer support and medical consultations.
THESIS:
This research improves climate forecast models by integrating global temperature data and CO2 emissions analysis with machine learning techniques. Utilizing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), the study enhances predictive accuracy for climate modeling. The methodology involves data preprocessing, model training, and validation to ensure reliable forecasting. Results demonstrate improved climate predictions, benefiting policy-making, resource allocation, and disaster preparedness. The study highlights the significance of machine learning in refining global climate models and proposes future advancements to enhance forecast precision, ensuring better mitigation and adaptation strategies for climate change.