The project is designed to give ingredient subsitutions in recipes!

scraping_script.py will get nutrient / price information for specific pages in Amazon Fresh

graph_noding.py will place food-json's in similar embedding space based on nutrients, also has bias walk to see similar items

visualize_all.py is a script that puts all foods in same embedding space

making_meal.py in being worked on now using reinforced graph learning for meal recommendations

effectiveness.py measures the effectiveness of how well the algorithm works

ideal_macros_bmr_llm.py calculates ideal macronutrients based on user inputs then provides food product recommendation with explanation from LLM.

ideal_macros_bmr_llm.py ranks and recommends food products in terms nutrition or/and cost with explanation from LLM.