Ecologme

EcologMe’s Mission

EcologMe’s mission is to empower individuals to make a positive impact on the environment. Through user and locale-based input, we generate actionable and motivating ideas for community members to lower their environmental footprint. By leveraging user input that includes their location, budget, and free time, our recommendations are incredibly personalized to address specific needs and preferences. This lends them to solutions that integrate well with the local community and keep individuals motivated to pursue their own goals.

EcolgMe collects localization input on crucial factors such as air quality, water quality, littering, and biodiversity. Our platform is dedicated to providing tailored solutions that are relevant to each individual's local community. By offering personalized recommendations that address personal concerns and motivations, we aim to inspire and empower individuals to take meaningful action towards a greener and more sustainable future— for their community, and themselves.

Tackling Key Barriers to Effective Environmental Promotion

EcologMe generates heavily customized suggestions that increase self-efficacy by creating a sense of security and encouragement that cannot be found in more generic sources for environmental tips.

Additionally, individuals must understand and value the projected benefits of changing their behavior. Our platform has this at the heart of its design, making use of a stats page on the user’s local city to highlight pertinent issues that align with the generated suggestions for making progress. This page innovatively unites data with solutions by putting data at the center of the experience to highlight the data-driven nature of the solutions.

The Tech Behind Ecolome

EcolgMe leverages AI technology and robust frameworks to provide a comprehensive experience.

Our backend inferences a fine tuned Generative Pre-Trained Transformer model (OpenAI GPT-3.5 Turbo) and semantic search algorithms, to generate real-time recommendations. We also use a collection of API’s including IQAir and WeatherAPI to analyze real-time international data and display stats on air pollution, water contamination, energy consumption and invasive species to increase awareness and tailor custom goals that fit the users budget, location, and time needs.

For the front-end, we used the SvelteKit framework to make our app as light and efficient as possible - our lighthouse score of 100 proves it. We handle massive load and similar/duplicated queries using Redis caching, allowing us to scale to the entire world. This ensures that Ecologme is fast, responsive, and adaptive for all our users.

Built With

• css3
• daisyui
• generative-pretrained-transformers
• html5
• javascript
• semantic-search
• svelte
• tailwind