Anirudh Dayanand@anirudh_dayanand520

Imagine having a magic wand for your code - this project aims to be just that for developers using CSS, transforming their styles effortlessly into Tailwind CSS. It's like translating a book from one language to another, but for your website's appearance. Instead of manually rewriting every style rule, this tool automates the conversion process, allowing developers to smoothly switch from traditional CSS to Tailwind's streamlined approach, resulting in faster development and consistent, polished designs across their projects. The solution to address the challenges faced when converting CSS to Tailwind CSS involves: Automated Conversion Tool: Develop a tool that automatically translates CSS code into Tailwind CSS, simplifying the transition process for developers. It also converts UI into code directly. UI to Code: Converts a image to code

MediFlow is an AI-powered system designed to transform patient onboarding and diagnosis in healthcare. It addresses key challenges like long wait times, inefficient onboarding, limited pre-appointment data for doctors, and difficulty prioritizing urgent cases. By integrating AI and streamlining workflows, it enhances both patient experience and healthcare delivery. The system's core feature is an AI-driven Interactive Voice Response (IVR) system, which guides patients through the onboarding process, gathers essential data, and directs them to appropriate departments. This personalized experience improves data collection by adapting to individual medical histories and needs. MediFlow also features an automated diagnosis system. Its AI algorithms analyze patient symptoms and medical history to generate an initial diagnosis and a detailed report for doctors. This enables more personalized, informed care before the appointment. Patients benefit from 24/7 access to healthcare guidance, reduced appointment wait times, and a more efficient, personalized experience. Healthcare providers gain comprehensive pre-appointment information, improving decision-making and care planning. MediFlow also helps prioritize urgent cases for timely attention, optimizing resource use. Technically, MediFlow uses Twilio for its IVR system, GPT-4 models for diagnosis generation, and Django for AI and IVR integration. The frontend is built with Next.js, and the system is hosted on Vercel and DigitalOcean, ensuring scalability and reliability.