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🩺 Problem Statement Medical students often struggle to bridge the gap between theory and practice. While textbooks provide knowledge, students rarely get the chance to practice clinical reasoning, patient interviews, and decision-making in a safe, low-stakes environment. Traditional case-based learning is often static, repetitive, and lacks interactive feedback, leaving students unprepared for real-world patient encounters. 💡 Our Solution: DocQuest DocQuest is an interactive AI-powered simulation platform where learners can: Interview virtual patients powered by GPT-5. Practice diagnostic reasoning by proposing tests, forming differential diagnoses, and planning management. Receive instant AI-driven feedback with scores, learning points, and red-flag highlights. It’s like a safe “practice ward” where students can make mistakes, learn, and improve — without any risk to real patients. 🚀 Key Features Case Library: Browse cases across multiple specialties (Cardiology, Neurology, Respiratory, Endocrinology, etc.). AI Patient Interview: Ask questions and interact dynamically with a simulated patient. Solve Cases: Enter diagnosis, key tests, and management plans. Feedback & Scoring: AI evaluator provides structured feedback (Diagnosis 4/4, Tests 3/3, Plan 3/3). Progress Tracking: Track cases completed, average score, and improvement over time. Today’s Challenge: Daily highlighted case for gamified learning. 🔮 Future Additions Leaderboard & Badges: Gamify the experience with rewards and peer competition. Multiplayer Mode: Allow group discussions on a case with collaborative solving. Custom Case Builder: Let educators create and upload their own cases. API Integration: Connect with medical knowledge APIs (e.g., UpToDate, PubMed) for deeper references. 👉 Our vision is to empower medical students and young doctors worldwide with a safe, engaging, and effective tool to sharpen their diagnostic reasoning skills.
24 Aug 2025
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In early childhood (ages 3–10), teachers and parents play a vital role in shaping a child’s growth. But they often face daily challenges from creating engaging content and managing routines to handling emotional moments and simplifying complex topics for young minds. Many lack the time, tools, or creative energy to do it all. That’s where ELIA (Empowered Learning & Interaction Assistant) steps in — an AI-powered assistant designed to support both teachers and parents in nurturing children through smarter, more meaningful engagement. Using the Groq API, LLaMA models, and Blackbox.ai, ELIA provides real-time, personalized help for a wide range of teaching and parenting needs. Whether you're preparing for class or facing a parenting dilemma, ELIA is your creative, intelligent companion. 🔍 Key Features: 🧩 Weekly learning plans & fun activities based on child’s age/class 🍎 Nutrition, sleep, and emotional wellness support 📚 AI-generated stories, quizzes, and classroom content 👩🏫 Tips for simplifying complex ideas into child-friendly explanations 🏠 On-demand parenting advice to handle real-life situations with care 📝 Worksheets, rubrics, and teaching resources ready to use 🎯 What Makes ELIA Unique: Combines teaching and parenting support in one simple tool Built on Groq-powered LLaMA models for fast and smart content generation Developed with help from Blackbox.ai to enhance productivity and code quality Designed by students, inspired by real-life classroom and home challenges Warm, friendly, and safe — for both mentors and little learners ELIA isn’t just an assistant — it’s a bridge between care and curriculum, helping the people who shape tomorrow do it with ease, empathy, and excellence.
8 Jul 2025
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PoliBot is an advanced global crisis negotiation simulator built using Python and Streamlit. The core idea is to model complex international relations and decision-making during various global emergencies (like climate collapse, pandemics, or energy crises) using autonomous AI agents. Each agent represents a specific country (e.g., USA, China, India, EU, Pakistan), equipped with a unique profile detailing its strengths, weaknesses, and national interests. Leveraging the Groq API and the Llama3 language model, these agents analyze the ongoing scenario, consult their recent memory of interactions, and decide on diplomatic actions—such as proposing deals, building alliances, or raising concerns—to best serve their country's objectives. The simulation dynamically tracks key global metrics (Peace Index, Economic Growth, CO₂ Emissions, etc.) and visualizes the evolving diplomatic network and relationships between nations using NetworkX and Matplotlib. Users can configure the scenario, participating nations, simulation speed, and other parameters, observing how AI-driven diplomacy unfolds turn by turn. The project demonstrates the potential of LLMs in simulating complex multi-agent systems and geopolitical dynamics.
1 May 2025

WorkUp is a project management tool designed to streamline and automate the process of project setup and management. Using AI-powered algorithms, the tool efficiently distributes tasks to team members based on their expertise, ensuring optimal productivity. WorkUp allows users to upload project descriptions and team expertise in various formats (PDF, DOCX, TXT) or manually input the data. The AI system analyzes this information to assign tasks, generate detailed workflows, and create visual flowcharts for a clearer understanding of the project’s progression. Additionally, WorkUp suggests creative project names and generates a starter code structure to kickstart development. Built on a user-friendly Streamlit interface, the tool allows for seamless interaction and feedback collection, enabling continuous improvement. WorkUp saves time, enhances collaboration, and scales easily to accommodate projects of different sizes and complexities. Future enhancements include advanced customization options, integration with existing project management tools, and mobile support.
13 Oct 2024