Graduate CSE in Jain University| Engineer | Programmer | Software Developer | JAVA | Machine Learning | AI | Researcher

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ROSHAN JHA  • Peerlist

This Project presents a novel approach to movie recommendation systems by integrating 
ChatGPT, a state-of-the-art natural language processing model developed by OpenAI. 
Leveraging ChatGPT's conversational capabilities, the proposed system offers users a more 
intuitive and engaging movie discovery experience. Through rigorous testing and evaluation, 
our implementation demonstrates significant improvements in user engagement, 
recommendation accuracy, and the system's ability to address the cold-start problem. The 
integration of ChatGPT enables users to input natural language queries and receive 
personalized movie suggestions tailored to their preferences. Despite challenges such as 
computational overhead and model refinement, our study highlights the transformative 
potential of ChatGPT in revolutionizing the movie recommendation process. Moving 
forward, further research will focus on optimizing system scalability and efficiency, as well 
as exploring advanced machine learning techniques to enhance recommendation algorithms. 
The findings of this research contribute to the ongoing discourse on the fusion of AI 
technologies and user-centric interfaces, paving the way for more personalized and enjoyable 
movie discovery platforms.

Link: https://zingy-semolina-2c12ed.netlify.app