Aiming to streamline the creation of 3D mesh (.obj) files from a given picture - we first use a object detection model (yolo-v8) to extract each bounding box(region of interests). Then we remove background from each bounding box by using rembg library . Lastly we create a 3d model from the images produced using the shap-e library .
This project can be used by artists / game developers to easily recreate 3d mesh of any object they have seen in a picture . 
Currently , command line app has been created . I plan to deploy a flask app with a Vue.js frontend in the future . 
Libraries used in the project -
shap-e , ultralytics (yolo-v8) and rembg (background removal)

3D AI Models Hackathon

Suppose we have a large picture , and we want to recreate a 3d mesh for a single object inside the picture. This tool allows you to extract objects from the picture , remove the background and create a 3d mesh of the object .

AdeptusMechanicus

Shap-E

OpenAI

YOLOv8

YOLO

scene-e

Clear Bureau is an innovative solution designed to bridge the digital divide and empower citizens to navigate complex government websites with ease. This AI-powered Chrome extension acts as a personal guide, offering on-demand translations, clear explanations of complex terminology, and step-by-step instructions in the user's preferred language.

Clear Bureau leverages the power of large language models (LLMs) to understand user requests and provide contextually relevant assistance. It can help users find the information they need, complete online forms, understand eligibility criteria, and access essential services such as tax filing, healthcare enrollment, and benefit applications.

Clear Bureau is an AI-powered Chrome extension that simplifies navigating government websites and accessing public services. It provides translations, explanations, and step-by-step guidance

Code Crusiade

Cutting-edge AI language model with unparalleled performance and innovative features.

Llama 3

Clear Bureau - AI for Accessible Government

Just like computers store data to process, our brains work by storing memories. As humans, everything that we see, feel, sense, everything that happens - gets stored as memories. We might get attached to some memories more than others, that might be good, bad or affecting us in some ways. We have created Revisit - which is a personal therapy app that helps to heals memories using text, images, audio, video and is personalized assistant to users. We have used Llama, Open AI, Aria and Allegro to integrate features that help users to type their memory as text inputs and help them to heal their memories.

Just like computers store data to process, our brains work by storing memories. As humans, everything that we see, feel, sense, everything that happens - gets stored as memories. 

Revisit

OpenAI is an AI research and deployment company

Rhymes.ai is a multimodal AI platform that integrates text, images, and video into seamless outputs. With innovations like Aria and Allegro, it empowers users to build advanced, efficient AI applications.

Rhymes.ai

Revisit - Personal Therapy App

Creating a custom RAG (Retrieve and Generate) pipeline without any coding is now accessible to users and beginners through intuitive no-code platforms. Start by selecting a user-friendly tool like Microsoft Power Automate, Zapier, or specialized AI platforms such as LangChain’s no-code solutions. These platforms offer drag-and-drop interfaces where you can easily configure data sources for retrieval, such as databases, APIs, or cloud storage. Next, integrate AI models for the generation phase by selecting from pre-built templates or connecting to services like OpenAI. Customize the workflow by setting parameters, defining triggers, and establishing how retrieved information is used to generate responses. Additionally, leverage built-in analytics and testing features to refine your pipeline. No-code RAG pipelines empower users to efficiently build robust, tailored solutions for tasks like customer support, content creation, and data analysis without needing programming expertise. This approach accelerates deployment, reduces errors, and allows for easy adjustments, making advanced AI capabilities accessible to everyone.








Helps user and beginner to generate custom rag pipline without any code

Medworks

Restack's Autonomous Intelligence Framework empowers teams to build, deploy, and scale AI systems, offering orchestration, real-time workflows, and adaptive capabilities.

Restack

Llama 3.1 is an open-source, state-of-the-art large language model (LLM) by Meta AI. It’s optimized for advanced NLP tasks, offering various model sizes, and focuses on transparency, safety, and accessibility.

Llama 3.1

Meta is a US technology company that owns the social networks Facebook and Instagram, the instant messaging apps WhatsApp and Messenger, and the virtual reality device brand Meta Quest.

Llama 3.2

LlamaIndex connects data sources to large language models, providing tools to ingest, index, and query data for building powerful AI apps augmented by your knowledge.

LlamaIndex

Discover the power of Together AI and empower AI innovation together!

Together AI

Snowflake is a top cloud data platform, enabling seamless data storage, analysis, and sharing across clouds, serving diverse sectors with real-time insights.

Snowflake

Rag Custom Pipiline Generator

AlphaBeam is a multilingual platform for Conversational Business intelligence, that redefines data interaction by seamlessly helping business users to explore their data without having to rely on their tech teams every time. While traditional BI tools have empowered data exploration through dashboards and reports, they often cater to a specialized audience, requiring technical expertise and leaving out crucial stakeholders. This results in missed insights, delayed decisions, and a limited understanding of their data's true potential.

To address this shortcoming in fostering a truly interactive and user-centric experience for non-technical users, AlphaBeam seamlessly blends conversational capabilities with advanced analytics, creating a symbiotic relationship between business users and their data. It also fosters business interaction in local African languages, to capture cultural contexts.

At a glance, AlphaBeam is a data-agnostic solution to ingest data from different sources, a semantic layer which translates raw data into business vocabularies and user queries into precise metrics and visualisations, a conversational interface for ad-hoc analysis and AI-powered insights through Llama 3.2 in 50+ African languages, and a visualisation layer which transforms the retrieved data into compelling dashboards. These capabilities empower users to carry out the following:

- Conversational Inquiries: Business users can ask questions about already existing dashboards in English or 50+ African languages, just as they would converse with a colleague. They could dig deeper into the data behind the visualisations, gaining a comprehensive understanding of the data.

- Comprehensive Metric Exploration: Engage in a conversational dialogue to uncover insights about any metric or data point. 

- Decision Making at the Speed of Data: Through conversational querying, AlphaBeam empowers users to make informed decisions very quickly based on readily available insights.

Multilingual conversational business intelligence in 50+ African languages

AlphaBeam

Chroma is an AI-native open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory

Chroma

Unleash the potential of Streamlit for rapid deployment of data applications.

streamlit

LlamaLaw is an advanced, AI-driven chatbot created to help immigrants, newcomers, and other users easily navigate government websites and understand complex legal procedures. Powered by a fine-tuned language model that’s been trained on lawyer-client conversations and other legal resources, LlamaLaw delivers accurate, reliable guidance in a conversational, user-friendly manner. Designed to bridge gaps in accessibility, it offers multilingual support, enabling users to communicate in their preferred language and reducing barriers for non-native speakers.

By understanding specific legal terminology and typical questions about government procedures, LlamaLaw can break down complex topics—such as visas, work permits, residency applications, healthcare, and tax obligations—into clear, easy-to-follow steps. The chatbot goes beyond simple answers, providing detailed explanations, form-filling instructions, deadline reminders, and tailored links to relevant resources, all in real time.

LlamaLaw uses an advanced tech stack including Together AI APIs, Hugging Face, and Crawl4AI to retrieve up-to-date, accurate information from government websites. This ensures that users are guided with the latest requirements and official protocols. The chatbot's backend, managed with Python, efficiently processes user inquiries, enabling seamless integration of these tools and timely responses, while Streamlit creates a simple and intuitive front-end interface for users to interact with the chatbot.

LlamaLaw ultimately provides an accessible, empathetic solution for anyone unfamiliar with complex legal systems, offering personalized assistance that reduces confusion and streamlines the process of accessing government services. By making official procedures clearer and more accessible, LlamaLaw empowers users to confidently engage with necessary resources and get answers to pressing legal questions without unnecessary stress.

LlamaLaw is an AI-powered chatbot designed to assist immigrants and newcomers in navigating government websites and understanding legal procedures. Equipped with a fine-tuned language model trained on real legal conversations

scene-e

Clear Bureau - AI for Accessible Government

Revisit - Personal Therapy App

Rag Custom Pipiline Generator

AlphaBeam

Llama Law

Clear Bureau - AI for Accessible Government

Revisit - Personal Therapy App

Rag Custom Pipiline Generator

AlphaBeam

Llama Law