EcoWise:ECO-FRIENDLY PRODUCT RECOMMENDATION ENGINE

EcoWise:ECO-FRIENDLY PRODUCT RECOMMENDATION ENGINE

We are developing a web-based AI/ML platform that integrates multimodels for recommending eco-friendly and sustainable Food & Beverage, Beauty Products, Home Appliances and Brands.

Created on 10th November 2024

EcoWise:ECO-FRIENDLY PRODUCT RECOMMENDATION ENGINE

EcoWise:ECO-FRIENDLY PRODUCT RECOMMENDATION ENGINE

We are developing a web-based AI/ML platform that integrates multimodels for recommending eco-friendly and sustainable Food & Beverage, Beauty Products, Home Appliances and Brands.

The problem EcoWise:ECO-FRIENDLY PRODUCT RECOMMENDATION ENGINE solves

We are developing a web-based AI/ML platform that integrates Google Authentication for user login and registration. The platform focuses on recommending sustainable brands and products in three key areas: Food & Beverage, Beauty Products, and Home Appliances. Using content-based and rule-based filtering, the system tailors recommendations based on users' past data to promote eco-friendly choices.
Our recommendation system empowers users to make sustainable and safe choices across food, cosmetics, and electronics. For food and beverages, we analyze data from OpenFoodFacts to identify carbon emissions and harmful ingredients, suggesting healthier, eco-friendly alternatives. In cosmetics, we assess ingredient safety and recommend products free from harmful substances, sourced from reliable web data. For electronics, we utilize ENERGY STAR ratings and repairability scores to highlight efficient and durable products that reduce environmental impact. By offering actionable insights, our system promotes responsible consumption and supports a sustainable future.

Challenges we ran into

While building an web application which is aiml based we faced some challenges while collecting the sustainable data
dataset were note available, so we have to scrape the websites. Also we faced challenge while integrating the nextjs webpage with our backend endpoints and APIs.

Discussion

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