Hi 👋, I'm Monali Bhoyar

🚀 A passionate Full-Stack Developer

---

🔥 About Me

• 🎓 Second-Year Computer Engineering Student at PICT, Pune
• 💡 Passionate about: Full-Stack Development, UI/UX, AI/ML, and Competitive Programming
• 🏆 Hackathon Enthusiast: Love innovating and building impactful solutions
• 🔭 Currently Working On:
  • 🚑 JeevanRakshak (Healthcare Project)
  • 🤖 PCOD Detection (ML-based)
  • 🎤 AI Mock Interview Project
• 🌱 Exploring & Learning: Advanced Full-Stack, Machine Learning, and AI
• 👯 Looking to Collaborate On: Cutting-edge MERN Stack & AI/ML projects
• 🏅 Achievements:
  • 5⭐ C++ at HackerRank
  • Active on CodeChef & LeetCode
• 🎨 UI/UX Enthusiast: Love creating intuitive and user-friendly designs
• 🎤 Anchored for Pulzion, PASC's flagship event 🎙️
• 💬 Ask Me About: MERN Stack, UI/UX, C++, Problem-Solving, Competitive Programming
• 📫 Reach Me At: monalib909@gmail.com
• ⚡ Fun Fact: When I’m not coding, I’m either designing, exploring tech, or planning my next hackathon adventure! 🚀

---

🌐 Connect with Me

---

🚀 Tech Stack

Frontend

Backend & Databases

Programming & Scripting

Tools & Platforms

---

📊 GitHub Stats

---

🚀 Featured Projects

🏥 JeevanRakshak

A real-time hospital recommendation system for emergency patients.
🔹 Tech Stack: React, Flutter, Node.js, MySQL
🔹 Features:
✔️ Nearest hospitals based on disease
✔️ Real-time facility availability
✔️ Emergency navigation

🤖 PCOD Detection App

AI-powered PCOD detection system with an intuitive UI/UX.
🔹 Tech Stack: Machine Learning, Full-Stack Web Development
🔹 Features:
✔️ User-friendly symptom analysis
✔️ No doctor panel, purely user-centric
✔️ Upcoming: Research paper publication!

---

🎯 Currently Exploring

• 🧠 Deep Learning & AI in Healthcare
• 🔥 Competitive Programming Challenges

---

🚀 Let’s connect and build something amazing together!
✨ Open for collaborations & new opportunities!