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👋 Hello World! I'm Bhanu Nagpure!

A final-year Computer Science student passionate about building scalable, impactful solutions at the intersection of Machine Learning, Mobile Development, and IoT.

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🚀 About Me

I am a CS enthusiast with global research internship experience, specializing in transforming complex problems into innovative, user-centric solutions. My work spans from creating life-saving IoT devices to developing cross-platform applications and contributing to large-scale open-source projects like the Wikimedia Foundation.

  • 🔭 I’m currently building ML solutions with cutting-edge text ideology identification algorithms and diving deeper into Transformer architectures.
  • 🌱 I’m always learning and exploring new frontiers in AI for Social Good and efficient ML model deployment.
  • 👯 I’m looking to collaborate on open-source projects related to sustainable tech, healthcare innovation, or intelligent mobile applications.
  • 💬 Ask me about Flutter Development, Computer Vision with OpenCV/YOLO, or my IoT Projects!
  • 📫 How to reach me: Drop me an email or connect on LinkedIn.

🛠️ My Tech Stack

Here's a glimpse of the technologies and tools I'm proficient in:

                               

Core Competencies: Machine Learning, Deep Learning, Computer Vision, IoT Solutions, Cross-Platform Mobile App Development (Flutter), Native Android (Kotlin), RESTful APIs, Cloud Computing, UI/UX Design, Agile Project Management.


🏆 Highlighted Projects & Research

Here are some of the projects I'm particularly proud of. For more, please check out my repositories!

Project Key Technologies Highlights & Links
V-Safe-Anywhere: IoT Wearable for Women's Safety Flutter, Firebase, IoT, Google Apps Script
  • Developed a life-saving device with real-time data sync.
  • 🌟 Key Achievement: 98% service uptime.
  • 🔗 View Publication (IGI Global)
  • Autonomous Floating Garbage Collector Python, OpenCV, YOLO, IoT
  • Designed a CV-powered robot to automate waste collection.
  • 🌟 Key Achievement: Reduced manual collection by 60%.
  • 🔗 View Paper (ACM) | Source Code
  • Smart Device for Early OSMF Screening Android (Kotlin), Firebase, IoT, Biomedical
  • Built an Android app integrated with a biomedical device.
  • 🌟 Key Achievement: Increased diagnostic efficiency by 40%.
  • 🏆 Received multiple national & state-level awards.
  • MfieldTrip: Cross-Platform Research App (Mitacs Internship) Flutter, Firebase, UI/UX Design, iOS/Android/Web
  • Led end-to-end development of an app for field assignments.
  • 🌟 Key Achievement: Presented at an international conference.
  • 📈 Received >85% user satisfaction.

  • 📊 GitHub Stats & Activity

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