Food Suggestor

NLP-Based Personalized Food Recommendation System

Project Overview

  • Created a chatbot system that suggests recipes or food items based on user preferences, dietary needs, or mood.
  • Used NLP techniques to parse and understand natural language queries and map them to structured food categories.
  • Integrated basic sentiment analysis to align food recommendations with user emotions or energy levels.
  • Deployed using Flask with a clean, responsive UI for an engaging user experience.
  • Tech Stack: Python, NLTK, Flask, HTML, CSS, JavaScript

Project Visuals

Food Suggestor Chatbot Interface

A screenshot of the chatbot interface for food recommendations.

Recommendation Output

An example of a food recommendation based on user input.