We are a bunch of college students interested in investigating how an AI-driven personalized diet recommendation system compares to traditional diet plans in terms of effectiveness, lifestyle preference, and user satisfaction in achieving individual dietary goals. Data is collected by asking participants to fill out a carefully structured form regarding their dietary needs and personal preferences. Gemini-1.5-Flash API is the machine learning algorithm utilized to process 150+ pages of raw text data, 200+ lines of raw table data, and user input to create a detailed personalized dietary plan. A sample of participant data is displayed, names are anonymized, two versions of AI-made dietary plans are created: one without processed training data (plain), one with processed training data (V2).
If you are interested in recieving your own personalized diet plan, please participate in our research experiment and aid in data collection by filling out the following link. Your help is much appreciated 🙏
Participation form: https://forms.gle/knngM4iYbDL6677q8
All research authors and their roles are displayed below:
- Omar Hamza (omahamz): Project Lead, Programmer
- Ryan Shreshta (ryanshrestha64): Programmer
- Herbert Melgar (herb3062): Data Processor
- Hamiz Iqbal (Hamixer): Data Processor