The problem MORT - The Movie Recommender Chatbot solves

MORT, short for MOvie Recommender Technology, is an AI-powered chatbot designed to help users find movies that they will enjoy. It provides personalized movie recommendations based on the user's preferences, making it easier for people to find the right movies to watch.

With MORT, users can simply chat with the chatbot and answer a few questions about their movie preferences, such as genre, actors, and plot, and the bot will recommend movies that match their tastes. This makes the task of finding new movies to watch much easier, as users no longer need to spend hours searching for movies online or browsing through endless movie lists.

MORT's ability to provide personalized recommendations also makes it safer for users, as they are less likely to come across inappropriate content or movies that they may not enjoy. By using MORT, users can save time and make informed decisions about what movies to watch, ultimately enhancing their overall movie-watching experience.

With MORT, you no longer need to go through irrelevant search results to find a good movie to watch. MORT is the perfect solution for movie lovers who struggle to find the right movie to watch. With its filtered recommendations and top results, you no longer have to spend hours searching for a good movie to watch. Follow the instructions above to get started with Mort today!

Whether you're looking for a new blockbuster or a hidden gem, Mort has got you covered. With Mort, you can now pick your flix the new way.

Challenges we ran into

During the development of MORT, one of the major challenges that we faced was implementing the Streamlit framework for the project. As we had no prior experience with it, it took us a while to understand its documentation and learn how to use it effectively.

We spent a significant amount of time trying to figure out the correct syntax and usage of various Streamlit functions to create the desired user interface and integrate it with the back-end functionality of the chatbot. However, despite our efforts, we encountered several errors and bugs, and we were not able to get the expected results.

To overcome this hurdle, we took a collaborative approach and asked for each other's assistance in resolving the issue. We brainstormed and tried out various solutions until we finally achieved the desired output. We also made use of online forums and resources such as Stack Overflow to gain a deeper understanding of Streamlit and troubleshoot any errors that we encountered during the development process.

In addition to Streamlit, we also brainstormed ideas in terms of all the prospective method and projects we can learn and apply, including OpenAI's GPT, Dialogflow, Discord Bot, Flutter Dev, Streamlit, Botpress, Rasa, Tidio, OpenCV, etc. But, eventually, as a team, we each brought our own skills to the table and finally decided to build an AI chatbot that would let you pick your flix the new way.

Through the development of MORT, we gained hands-on experience with these technologies and learned how to integrate them effectively to achieve our goals. Overall, this experience taught us the importance of collaboration and resourcefulness in overcoming challenges while working on a project.