Introduction: This innovative project emerges from a simple yet profound need experienced by myself four years ago—the desire to create personalized clothing. With a background in mathematics, computer engineering, and a passion for visual art and design, I sought to revolutionize the traditional process of creating custom clothing.
The proposed platform leverages AI and advanced technologies to abstract and democratize the process of custom clothing creation. Key features include:
AI-Driven Design Generation: Users can receive design recommendations or create their own designs, tailored to their preferences and measurements.
AI-Enhanced Pattern Creation: Utilizing AI coupled with mathematical solvers, the platform generates accurate pattern pieces based on the user's body measurements.
Laser Cutting Technology: To reduce manual effort and increase precision, pattern pieces are cut using laser cutters.
Sustainable Local Assembly: Emphasizing a sustainable approach, the platform connects users with local sewists who assemble the garment pieces, supporting the local economy and reducing carbon footprint.
User Flow:
Users enter the platform and input their measurements.
They receive design recommendations or customize their own design.
Upon finalizing the design, users click "Order" to initiate the creation process.
The backend system generates pattern pieces and assembly instructions, sources fabrics, and coordinates cutting and assembly through a network of available sewists.


LEAP 2024 Hackathon 

La Vipère is a project aimed to transform the future of fashion for consumers but enabling custom garment creation for everyone.

GET3D is an innovative generative model developed by Nvidia, designed to synthesize high-quality 3D textured shapes directly from images

GET3D

La Vipère

Our team harnessed the power of OpenAI's shap-e and gpt4all technologies to transform mere text into tangible 3D objects, all within a tight timeframe. But what sets our project apart is our commitment to sustainability and resourcefulness. We utilized recycled plastic filament as our raw material and self-assembled 3D printers for production.

This project is not just about technological innovation. It's about envisioning a future where personalized consumer goods, from furniture to fashion items, can be produced on demand using sustainable materials. 

Join us as we delve deeper into this exciting journey of combining AI, 3D printing, and sustainability to revolutionize the manufacturing landscape.


3D AI Models Hackathon

This project involves the full cycle from 3D design to printing the object. OpenAI's shap-e and gpt4all were used in a streamlit application to generate an avocado-shaped flower vase from the recycled plastic filament.

RSLT

OpenAI is an AI research and deployment company

OpenAI

OpenAI Shap-E is a text to 3D generation model.

Shap-E

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Whisper

GPT-4 is OpenAI's 4th generation Generative Pre-trained Transformer. It is a multimodal large language model that uses deep learning to produce human-like text, accepting image and text inputs. GPT-4 is OpenAI's most advanced system, producing safer and more useful responses

GPT-4

Stable-Dreamfusion is an innovative PyTorch implementation that combines text-to-2D modeling with Dreamfusion technology to create 3D visuals

Stable Dreamfusion

Introduction to Point-E: 3D Models from Text Prompts. Point-E is a groundbreaking system developed by OpenAI, capable of generating 3D point clouds from text descriptions.

Point-E

Transforming Text into Tangible 3D Objects

PhenoVis is a revolutionary educational platform that transcends traditional learning boundaries, inviting students to embark on a captivating journey of scientific exploration. Through cutting-edge 3D simulations, PhenoVis bridges the gap between theory and reality, offering learners an immersive experience of complex scientific phenomena. Imagine delving into the intricacies of physics, chemistry, and biology within interactive virtual environments. With real-time visualizations and interactive elements, students grasp concepts with unparalleled depth and engagement. PhenoVis empowers curiosity-driven learning, fostering a profound connection to scientific principles and encouraging a lifelong pursuit of knowledge. Join us in reshaping education through the transformative power of PhenoVis.

PhenoVis revolutionizes education by offering an immersive and interactive platform that enables learners to dive deep into the realm of scientific phenomena. Through state-of-the-art 3D simulations, 

SciVis3D

Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images. It is pre-trained on a subset of of the LAION-5B dataset and the model can be run at home on a consumer grade graphics card so everyone can create stunning art within seconds.

Stable Diffusion

Explore Stability AI, the vanguard of open source generative AI, empowering global creativity and innovation

Stability AI

PhenoVis 3D Learning

 QuantumVisions, driven by the fusion of 3D AI's capabilities and the language of mathematics, embarks on a journey to craft captivating visual artistry that seamlessly connects the realms of scientific exploration and boundless human imagination. By harnessing the intricate power of mathematical concepts, this team aims to breathe life into abstract ideas, transforming them into mesmerizing 3D artworks that serve as intricate bridges between the worlds of analytical thought and artistic expression. Through QuantumVisions, the boundaries of science and creativity blur, inviting viewers to explore the interconnectedness of two seemingly distinct domains.

 Blending AI and math to create captivating art that bridges science and creativity.

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