Rashmin Munasinghe

Electronics and Telecommunications Engineering Undergraduate at General Sir John Kotelawala Defence University

Passionate about Machine Learning and Deep Learning, actively learning Natural Language Processing and advanced deep learning techniques. I specialize in developing intelligent systems through software, leveraging AI frameworks and programming expertise to create meaningful solutions that address real-world challenges.

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Rashmin Munasinghe

Experience

Internship Trainee

Sampath IT Solutions

November 2024 - May 2025 | Colombo, Sri Lanka

  • Developed YOLOv5-based exam proctoring model with 84.2% precision and 86.2% mAP50
  • Implemented face detection and recognition system for secure LMS authentication
  • Integrated AI models into production LMS platform with real-time processing capabilities

Projects

Human Mesh Reconstruction
Multiple Textured Human Mesh Reconstruction using a Single Monocular Image Ongoing

Python, PyTorch, Computer Vision, 3D Reconstruction

Developed a deep learning system for reconstructing detailed 3D human meshes with multiple textures from single RGB images. Implemented advanced computer vision techniques for pose estimation, mesh generation, and texture mapping to create photorealistic 3D human models.

🚀 Codebase coming soon

Phishing URL Detection
Phishing URL Detection Application

Python, Machine Learning, Flask, Scikit-learn, React

Built a machine learning-powered web application to detect phishing URLs in real-time. Implemented feature extraction from URLs and trained classification models to identify malicious websites with high accuracy, helping users avoid cybersecurity threats.

Voice Assisted Chatbot on Raspberry Pi

Python, Speech Recognition, Raspberry Pi, IoT

Developed an intelligent voice-activated chatbot system on Raspberry Pi. Integrated speech recognition, natural language processing, and text-to-speech capabilities to create an interactive AI assistant for IoT applications.

Smart Notice Board
Smart Notice Board using Raspberry Pi

Raspberry Pi, Python, IoT

Designed and implemented a smart digital notice board system using Raspberry Pi for automated content management and display. Integrated remote control capabilities and real-time updates, enabling efficient information dissemination in institutional or public settings with minimal manual intervention.

Competitions & Achievements

Synthetic to Real Object Detection Challenge

Top 5% - Ranked 6th out of 115 teams | Kaggle | Mar - Apr 2025

Binary Prediction with Rainfall Dataset

Top 5% - Ranked 204th out of 4,381 teams | Kaggle Playground Series | Mar 2025

Synthetic 2 Real Object Detection Challenge 2

Top 30% - Ranked 30th out of 102 teams | Kaggle | Apr - May 2025