Skip to content
View munagalachandu's full-sized avatar

Block or report munagalachandu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
munagalachandu/README.md

Munagala Chandu

Work & Research

Projects

🦷 Mandibular Implant Planning
CBCT segmentation using Mask R-CNN
Focus: IoU, precision, recall, F1

💬 Sapphire — RAG Mental Health Assistant
FAISS + Sentence Transformers
~90% top-5 retrieval relevance

👗 Try-N-Thing — AR Virtual Try-On
OpenCV + MediaPipe + CatVTON
Real-time alignment

🗓️ Anvaya — Events Management Platform
MERN stack
Role-based authentication + REST APIs

Achievements

Event Result
🎯 GATE CS'26 Qualified
🏆 Ingenium'26 Best innovative Project, Top 10/3700+
🥈 Udaya'25 — Healthcare 2nd Place
🥈 Hacktopus'25 2nd Place
🏆 CodeRed'25 Top 50 / 2500+ teams
🎖️ Mumbai Hacks · AmBITion · Hackademia Finalist

What I'm Working On

Tech

GitHub

 

Competitive Programming

 

Connect

       

Pinned Loading

  1. mandibular-implant-prediction-cbct mandibular-implant-prediction-cbct Public

    Medical imaging pipeline for mandibular implant planning using Mask R-CNN segmentation and PCA-based prediction, achieving high IoU and clinically valid size recommendations.

    Jupyter Notebook

  2. DSA DSA Public

    Collection of Data Structures and Algorithms problems solved in C++ with a focus on pattern recognition, optimized solutions, and interview preparation.

    C++

  3. NeuroCompanion-amd NeuroCompanion-amd Public

    Agentic AI learning assistant leveraging RAG pipelines and LLMs to simplify study material, generate quizzes, and improve accessibility for neurodiverse learners.

    Python

  4. 2D_try_on_jewelry 2D_try_on_jewelry Public

    Forked from skyXscraper/2D_try_on_jewelry

    AI-powered AR virtual try-on system using OpenCV and MediaPipe for real-time accessory alignment, with CatVTON integration for apparel preview generation.

    Python