SnackGPT

This project involves the development of an AI-powered web-based chatbot designed to help users track their daily macronutrient intake. The chatbot allows users to enter their meals using natural language, similar to a ChatGPT-style interface. The system processes the user’s input, retrieves nutritional information from an external nutrition database API, and calculates total daily values for calories, protein, carbohydrates, and fats. The chatbot provides real-time feedback and daily summaries, helping users better understand their eating habits in an easy and interactive way. The goal of the project is to demonstrate the use of web technologies, APIs, and basic AI-driven logic to solve a real-world health and nutrition tracking problem.

The vision of this project is to create a reliable, user-focused software solution that balances technical quality with real user needs. The project aims to deliver meaningful functionality while remaining flexible enough to adapt as new insights emerge during development. Success will be measured not only by technical correctness, but by how effectively the solution responds to user feedback and evolving requirements.

The philosophical foundation of this project is centered on accessibility, simplicity, and user empowerment. Many existing nutrition-tracking tools are complex and time-consuming, which can discourage users from maintaining healthy habits. This chatbot is designed with the belief that technology should adapt to the user, not the other way around. By allowing users to interact through natural language, the system lowers the barrier to entry for nutrition tracking and encourages consistent engagement. The project also emphasizes transparency by clearly presenting nutritional data and acknowledging limitations in accuracy, reinforcing trust between the user and the system.