Indar Kumar@IndarKarhana

Upload books seamlessly and pose inquiries without tedious searching. Effortless Book Exploration: Simplify your reading experience by effortlessly uploading books and posing inquiries without tedious searching. Receive prompt and detailed answers, including contextual details like page numbers and topics. Choose between concise summaries or exploring entire sections within the book. Enhanced Learning Worldwide: This project is a boon for learners and readers globally, facilitating effective reading and learning. Students benefit from quickly finding answers, educators easily locate relevant information, researchers streamline data gathering, and book enthusiasts navigate books seamlessly. The support for multiple languages enhances accessibility and promotes inclusivity. Optimized Learning Experience: Elevate your learning journey with this application. Students can swiftly find answers to specific questions, educators enhance lesson planning, researchers streamline information gathering, and book enthusiasts enjoy a richer reading experience. The support for multiple languages breaks down barriers, ensuring a global reach and inclusive access to valuable knowledge.

The food complaint resolution application is an AI-based customer complaint system tailored to the food delivery industry. While many food delivery companies already have a customer complaint system, it typically involves human intervention to address customer concerns. For instance, if a customer orders pita bread and receives expired bread, filing a complaint triggers a human review process. The human evaluator assesses the complaint using metadata such as images of the bread and the complaint description. Following this evaluation, the customer may be reimbursed if the human determines that the delivered pita bread has indeed expired. However, this manual process is time-consuming and dependent on the availability of human personnel. By utilizing the food complaint resolution application, a food delivery company can significantly reduce processing time and human effort in handling complaints. The application can swiftly process customer complaints in a matter of seconds, streamlining the resolution process. We developed this application with ❤️, incorporating state-of-the-art AI models such as Food Item recognition, GPT-4 Turbo, and GPT-4 vision to automate complaint resolution. The user-friendly interface, created using the Streamlit library, ensures a seamless experience for users. The system mimics human evaluation by processing complaints based on metadata like complaint descriptions and images. After analyzing the information provided by the customer, our system adheres to company policies to provide cash back to eligible customers. If a customer remains dissatisfied with the refund or after reaching the maximum attempts, the system redirects the complaint to human intervention.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

🕒You have 2 days to complete the challenge. Compete for exciting prizes and exclusive opportunities. It's an amazing opportunity to: 🚀 Compete to craft an app supercharged by IBM’s advanced AI models. 💰 Receive the necessary resources to kick off your app development. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🚀 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.