first-project-on-AI

Team Name: IT TECHNOS

Team Members:

• Member 1 - Ashwi Porob
• Member 2 - G. Srividhya
• Member 3 - Ankita Suttar
• Member 4 - Himanshu Mishra

Problem Statement:

AI-Powered Nutrition and Meal Planning Assistant

Making healthy food choices can be challenging, especially when trying to understand nutritional value and plan balanced meals with available ingredients. Many consumers struggle with interpreting food labels, and existing solutions often prioritize price over health. While some tools provide basic dietary insights, they fail to offer a seamless way to connect ingredient selection with personalized meal planning. There is a need for a solution that helps individuals assess the nutritional value of food items and make informed decisions based on their health needs. Additionally, leveraging available ingredients to create healthy, well-balanced recipes remains an unmet challenge. The solution should simplify the shopping experience while encouraging healthier eating habits in a way that feels intuitive and accessible.

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🔍 What We Understood from the Problem Statement:

We understand that the main challenge lies in helping users make healthy food choices easily and confidently. Many people struggle to interpret nutrition labels, plan balanced meals with what they have, or find recipes suited to their health needs. The goal is to create an intuitive AI-powered assistant that bridges the gap between nutritional information, available ingredients, and practical meal planning — ultimately promoting healthier lifestyles.

🛠️ Our Approach / How We Plan to Solve It:

1. Ingredient Scanning or Input – Users can input or scan ingredients they have.
2. Nutrition Analyzer – AI analyzes the nutritional value.
3. Personalized Meal Plans – Based on dietary goals or restrictions, the system suggests balanced meals.
4. Recipe Generator – Creates easy-to-follow, healthy recipes using available ingredients.
5. Smart Shopping Assistant – Recommends healthy options while shopping and helps build shopping lists.
6. User Dashboard – Tracks nutrition goals, favorite meals, and suggests improvements.

##Tech Stack:

• Frontend: HTML, CSS, JavaScript (Bootstrap)
• Backend: Python with Flask
• Database: SQLite
• APIs: google gemini api and Nutritionix API or any open food/nutrition API
• Tools: GitHub

before running the project use npm install set up the .env.local folder ** API_KEY="whatever is the api key" ** to set up api key (for gemini) then to run the project use npm run dev