Urdu Legal E-Commerce Agent is an adaptive, multi-agent system designed to make everyday legal help accessible to millions of Urdu speakers. ⚖ The platform combines a Retriever Agent (fetches relevant clauses), Parse & Simplify Agent (explains in simple Urdu), Risk Advisor Agent (identifies hidden risks), and a Draft Notice Agent (auto-generates notices). 📚 All interactions are saved in a reusable user profile (stored as a knowledge graph), allowing personalized follow-ups and connected services in future. 🤝 The system empowers small landlords, tenants, and small businesses with an easy-to-use Urdu Q&A interface, clause simplifier, risk checker, and notice generator — all from local Urdu legal texts like the Rent Act and Contract Act. 💡 The project demonstrates practical agentic capabilities, Groq API + Llama integration, clean local embeddings, and a scalable design ready for more laws, languages, and paid legal services in the future

Insur.Cap revolutionizes risk management with algorithmically driven augmented underwriting, leveraging computer vision AI & LAM for image-caption fusion. The orchestration processes proactively predict risks and facilitate accessible comprehensive coverage, overcoming traditional insurance limitations. Insur.Cap optimizes “Assistant-LAM” communication via a chatbot-based UI conversation flow interface. Looking from the perspective of Knowledge augmentation, we have a “data point issue” while the PROBLEM is that the incumbent does not employ DATA {as a tool, knowledge…} driven decision making, (to help processes make better-agile decisions by bringing in {data} more {usable} information to the risk underwriting, as a new data set - data points.) -Traditional insurance is too complex. -Definitely there is still a gap between the needs (mainly on-demand or custom-target needs). -Last but not least, proactive prevention might play a crucial role - if we emphasize prevention as a service proposition. Multimodal orchestration is our magic weapon! We develop a seamless-simple customer UuserInterface that delivers more/new datasets and data points for augmenting underwriting. Through the {Large Action/Agentic Model} we empower algorithmically driven architecture and orchestrate the process flow decision tree. Let me show you how we do that! First, with a simple User Interface we ingest the image and from the AI receive the CAPTION - this means the context from the image. That is the first pillar of the AI_assitant Then the core pillar of AI_ “Agent - Action” capability is to compute the: proper insurance product line based on the item from the caption execute premium calculation logic offer personalized coverage and finally issue the insurance policy All of that is our AI assistant Chatbot-based user interface; a SaaS (IaaS) API-driven technology stack.

🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱‍💻 Sign up now for free and let's get going!

🚀 Tap into OpenAI's models for diverse app needs: text and image generation, text-to-speech, vision, and more! 🧑🏻‍💻 Go one step further. Get your application ready for production using TruLens evaluations! 🤝 Work in teams of 1 to 6 members, fostering community connections! 🏆 Prize Pool: $2,500 in Cash and $2,500 in Portkey Credits! 💡 Extend beyond the Hackathon—build your startup with support and opportunities beyond the initial project.

Harness the power of Assistants API and Trulens technology to build cutting-edge apps! 👩‍💻Unleash your creativity by integrating the power of Trulens and Assistants API in your app. 🚀 7 days of online development with workshop sessions from experts in LLM! 🤝 Connect with developers and startup enthusiasts for future opportunities. 💡 Develop impactful apps for meaningful and positive change in the world with strategic approach!