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yIGF ASIA 2024 Fellowship Reflection - Taipei, Taiwan

yIGF ASIA 2024 Fellowship Reflection - Taipei, Taiwan

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Impact-a-thon: SDG Edition Track 3 Winner | E-summit IIITD 2024

Impact-a-thon: SDG Edition Track 3 Winner | E-summit IIITD 2024

The Green Footprint is a multi-faceted platform designed to promote sustainability and awareness regarding energy consumption, product sustainability, and waste management. Our tools leverage the power of data analytics, natural language processing, and computer vision to provide users with actionable insights to make more eco-friendly decisions. Objective: Challenge yourself and your team to develop innovative solutions for pressing issues in three critical areas: gender equality, food security, and environmental sustainability. Ideate and Pitch your ideas while networking with leading industrialists.
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My first Hackathon at Hack2Skill with friends | NASA Space Apps Challenge 2023 Noida

My first Hackathon at Hack2Skill with friends | NASA Space Apps Challenge 2023 Noida

Initial Context The NASA Space Apps Challenge is an international hackathon that occurs over 24 hours in cities around the world. The event embraces collaborative problem solving with a goal of producing relevant space technology using data provided by NASA to bring out the imagination and creativity of the participants who are passionate about space and technology. The event is open to anyone who has a passion for space and technology and is looking to contribute to the future of space exploration.

Impact-a-thon: SDG Edition Track 3 Winner | E-summit IIITD 2024

Planted March 16, 2024

Impact-a-thon: SDG Edition Track 3 Winner | E-summit IIITD 2024

The Green Footprint is a multi-faceted platform designed to promote sustainability and awareness regarding energy consumption, product sustainability, and waste management. Our tools leverage the power of data analytics, natural language processing, and computer vision to provide users with actionable insights to make more eco-friendly decisions.

SDG-SustainX Logo

Objective:

Challenge yourself and your team to develop innovative solutions for pressing issues in three critical areas: gender equality, food security, and environmental sustainability. Ideate and Pitch your ideas while networking with leading industrialists.

Problem Statement:

Preserving the Environment: Craft solutions for a sustainable future. Focus on renewable energy, waste management, and promoting eco-friendly practices. Address climate change, protect biodiversity, and empower communities to make a positive impact.

Introduction:

Introducing TheGreenFootPrint: your personal navigator towards more sustainable living. This innovative web application is designed to bridge the gap between awareness and action, empowering both individuals and organizations to make more eco-friendly choices. Leveraging the latest in machine learning and data analytics, TheGreenFootPrint provides tailored insights for energy conservation, product sustainability, and wise waste management. Embrace a greener lifestyle with technology that informs, inspires, and incentivize a healthier planet. Get ready to reduce your environmental impact with TheGreenFootPrint.

Inspiration:

TheGreenFootPrint draws motivation from key United Nations Sustainable Development Goals: Affordable and Clean Energy (SDG 7), Sustainable Cities and Communities (SDG 11), Responsible Consumption and Production (SDG 12), Climate Action (SDG 13), and Life on Land (SDG 15). The platform champions energy efficiency, waste reduction, and eco-friendly practices, paving the way for users to make a tangible impact on our planet. By aligning personal choices with these global objectives, TheGreenFootPrint serves as a conduit for positive environmental change, embodying the essence of sustainability in every feature.

Team
Trident09 error9098x

Build up

We got up in the morning way too late as the previous day we had a party at our house so in the morning we picked up things to take to the venue it was quite far and made it to the event and registered ourselves and then we went to the auditorium where the event was going to take place and found out the event was going to start at 10:30 am so we had some time to relax but still me and Aviral were experimenting with a few things to put in our project.

The Event

There were a few speakers who explained their tracks to make us choose what track we wanted to work on but we already knew what we wanted to work on so we were just waiting for the event to start and then the event started. This was my second hackathon and I was quite excited to work on this project. We had a rigid plan and we were going to stick to it and we were going to make a project that was going to be a game-changer in the field of sustainability. So I and Aviral started on the first page, we put a nice little parallax on the front page.

Mood Board

Mood Board

While aviral was making the figma design I was simultaneously making the corresponding pages for the websites.

Then came the time to make the models and I started to work on a TensorFlow.JS model for waste classification and Aviral started to work on the BERT model for the sustainability score. but it was throwing a lot of error so Aviral suggested to change up the plan and use a different approach for the BERT model and we did that and it worked.

Then we started to work on the StreamLit apps and we made a few StreamLit apps and then we embedded them in our website and then we made a few more pages and then we made the website live and then we submitted the project. Most of it was made by aviral, I was helping him make the comprehensive and streamlined pages so it all looked good.

Presentation

The Green Footprint Presentation by SustainX

Meeting the other team from my college

Satyam’s Team

We celebrated Satyam’s birthday there and had a lot of fin times with Kushagra, Joysa, Nishita and obviously Satyam. Our Hackathon were giving us very little food Satyam’s team gave us some of their food and we were very grateful for that. We were very happy to meet them and we were very happy to be there.

Satyam’s Birthday

We got to a speaker event with NV sir, who is the most famous teacher in India for JEE and NEET and he was talking about his journey and how he started his coaching institute and how he was able to make it so big. It was a very inspiring talk.

His quote still resonates with me from my days in Kota and it is still very relevant to me. It goes like this:

कर्म करो तो फल मिलता है,
आज नहीं तो कल मिलता है।
जितना गहरा अधिक हो कुँआ,
उतना मीठा जल मिलता है ।
जीवन के हर कठिन प्रश्न का,
जीवन से ही हल मिलता है।

Did a lot of work and the project was done by night so we were chilling all night and then we went to sleep around 4 am. We were very tired and we were very happy that we were able to make the project in time and we were very happy with the project. But the Mattress was very hard and we were not able to sleep properly. So I barely Managed to sleep for 1 and a half hour and then when I got up saw Aviral was starting to work on the presentation and I then started to work on the video that needs to be uploaded with the project.

Burgers

Then we got 4 burgers from Kushagra and Satyam we ate that and then went on to see their presentation for a different hackathon that they had attended the previous week, fortunately they scored the third position in that hackathon and we were very happy for them as it was their first hackathon. After that I and Aviral went on to our hackathon to submit the project and then we submitted the project and then we went to the auditorium to see the results and then we were informed we had to wait till 5 PM for our results, and were allowed to go out of the campus but we didn’t go out of the campus as we were very tired.

So we went to the campus mess and had lunch and then Satyam and Nishita left for home. Now me, Aviral, Kushagra and Joysa stayed back. We attended a lot of talks including the one by the founder of naukri.com and then we went for the award ceremony.

The Results

The result was being announced, all of us were eagerly waiting to hear our team’s name “SustainX”

Results

The result for track one and two was announced and then came the time for track 3 and then I heard the name of our team. All of us were happy for the results, we received the prize. After that we were dispersed to go home and then we went home.

Happy

Now for the Technical Part

  1. Energy Consumption Analysis (Data Analytics): Using big data analytics, this feature provides users with a personalized dashboard which identifies patterns, pinpoints inefficiencies, and encourages energy-saving habits.

  2. Amazon Product Sustainability Score (NLP+LLM, BERT Model): Our proprietary AI-driven scoring system analyzes product descriptions to calculate a sustainability score. The system utilizes state-of-the-art NLP techniques and BERT, a highly effective language representation model, for thorough examination.

  3. Brand Sustainability Profiles (LLM, Web Scraping): Utilizing advanced LLM capabilities, this feature compiles data on corporate practices obtained via web scraping to offer a concise profile highlighting brand sustainability efforts.

  4. Waste Classification Guide (Computer Vision, CNN, TensorflowJs): A user-friendly guide that incorporates a custom-trained Convolutional Neural Network (CNN) to identify and sort waste. It promulgates correct waste disposal procedures, assisting users in contributing to environmental conservation.

Technology Stack:

TheGreenFootPrint is built on a robust and versatile tech stack designed to deliver a seamless and interactive web experience with a strong emphasis on machine learning and data analytics. Here’s a brief look at the technologies powering our eco-conscious platform:

  • HTML5 is the backbone, providing the structure for the web-based content, ensuring that the application is accessible and semantic across all devices.

  • CSS3 amplifies the user experience with its advanced styling capabilities, allowing us to create a visually engaging and responsive interface that resonates with our eco-friendly mission.

  • JavaScript is the driving force behind the dynamic interactions on the site, enabling real-time content updates and interactive features that keep users engaged and informed.

  • Python serves as the primary programming language for server-side scripting, data analysis, and running machine learning models, chosen for its simplicity and powerful data handling capabilities.

  • Streamlit is a rapid development framework that allows us to turn our data scripts into shareable web apps, making the deployment of our Python work quick and user-friendly.

  • TensorFlow.js brings machine learning directly to the browser, underpinning features like the waste classification system with its accessible and efficient neural network implementation.

  • Pandas, NumPy, and Matplotlib form our data science triumvirate in Python, used for managing, computing, and visualizing data to derive insights and guide user decisions towards sustainability.

  • Gemini, while less known, is a specialized protocol used within the tech community, representing our commitment to exploring innovative solutions that align with our sustainable ethos.

  • BERT, a revolutionary natural language processing model, helps in understanding the environmental impact of products and brands by analyzing text data with unprecedented accuracy.

Together, these technologies interweave to create a green tapestry of functionality and purpose and are chosen specifically to ensure TheGreenFootPrint is as efficient and impactful as the sustainability actions it aims to inspire.

Project Demo Video

Explore Our AI Models

Dive into the innovative technology powering TheGreenFootPrint with our open-source models. Whether you’re into machine learning or just curious about how AI can foster sustainability, our interactive notebooks are designed for easy experimentation and in-depth understanding.

Visionary Waste Classification

Ever wondered how artificial intelligence can tell apart a plastic bottle from a paper bag? Our bespoke Convolutional Neural Network (CNN) model is the answer. See it in action, explore its intricacies, and even run your own tests with our detailed Google Colab notebook.

👁️ Check out the Computer Vision Model

Intelligent Language Understanding

Our Natural Language Processing (NLP) model isn’t just smart—it’s eco-smart. Powered by BERT’s language comprehension, this model sifts through complex data to assess the sustainability of products and brands. Uncover the insights that drive our sustainability scorecards and learn how you can leverage them in your own projects.

📚 Explore the NLP BERT Model

Usage

TheGreenFootPrint is designed to be user-friendly and accessible to all. Whether you’re a sustainability enthusiast, a data science aficionado, or just someone looking to make a positive impact, our platform is tailored to meet your needs. Here’s how you can get started:

Clone the repository:

git clone https://github.com/Trident09/SDG-SustainX.git
cd SDG-SustainX

  • Live server can be used for the localhost deployment as most of the code is in HTML, CSS, and JavaScript.

  • There are few streamlit apps that are embedded in our website. To run them, you need to install streamlit and run the following command:

cd External_Apps
pip install streamlit
cd <app_name>
streamlit run <filename>.py
  • There is another website that is embedded in our website. That is the Image Classification website. For that you can use live server extension in VSCode or any other code editor.

Contributions

Contributions are welcome! Please feel free to submit a pull request or create an issue if you have suggestions for improvements.

  • This project is licensed under the MIT License - see the LICENSE file for details.

Finally

Adios