A S Dhanush

About

Computer Science undergraduate focused on building AI/ML systems, computer vision pipelines, and full-stack applications. Experienced with Python, OpenCV, MediaPipe, Django, Flutter, and related tools for research-driven projects.

Education

• B.Tech
  Alliance University, Bengaluru
  Computer Science Engineering
• Class XII
  JSS Public School, Bengaluru
• Class X
  Lawrence High School, Bengaluru

Skills

• C
• Git
• Bootstrap
• Python
• MySQL
• CSS3
• Firebase
• Java
• JavaScript
• MongoDB
• Django
• NumPy
• scikit-learn
• OpenCV
• TensorFlow
• Flutter
• jQuery
• Ruby on Rails
• HTML5
• R
• ONNX Runtime
• C++
• Reactjs
• Mediapipe
• Retinaface

Projects

• GST Billing System for Tile Dealers
  Python, Django, MySQL, Bootstrap

  GST-compliant billing and invoicing platform for tile dealers, automating tax calculation and itemized invoice generation. Includes a tile calculator for boxes required per square foot with configurable wastage percentage.

• Attendance Manager
  Java, Android Studio, XML

  Android app tracking per-subject attendance and projecting loss for future absences. Visual dashboard helps students stay above the minimum required attendance threshold.

• OTP Authentication App
  Flutter, Firebase Auth, Dart

  Cross-platform mobile app with SMS OTP sign-in via Firebase Authentication. Secure sign-in flow includes real-time OTP validation and user-state management.

• Hospital Appointment System
  Django, MySQL, Bootstrap

  Full-stack portal with role-based access for receptionist and patient users and session authentication. Receptionist dashboard supports creating, updating, and cancelling appointments with a responsive UI.

• AI Smartphone Picker
  Python, Tkinter

  Weighted-scoring engine mapping user conditions such as budget, use-case, and battery to best-fit devices. Tkinter GUI enables non-technical users to get data-driven hardware recommendations instantly.

• AI Fitness Trainer
  Python, OpenCV, MediaPipe, NumPy

  Real-time rep counter using MediaPipe's 33-point body landmarks with joint-angle thresholds. Includes configurable per-exercise angle ranges and a live HUD overlay showing rep count and phase indicator.

• Multi-Face Detection at Night
  Python, RetinaFace, OpenCV, NumPy, ONNX

  Real-time pipeline detecting multiple faces simultaneously using RetinaFace deep-learning detector. Uses CLAHE and gamma correction pre-processing for nighttime footage; about 94% detection versus about 61% Haar baseline. Includes 5-point facial landmark localisation for downstream liveness detection and face alignment.

🗣️ Languages

• English · Native
• Tamil · Professional
• Hindi · Intermediate

🏆 Achievements & awards

• Silver Medalist — CISCE Regional Chess Tournament · 2018
• National-level participant — CISCE National Chess Tournament

⚽ Extracurricular activities

• ATAL Tinkering Lab

  Member focused on hardware and rapid prototyping.

• Alliance R&D Club, AI/ML Division

  Member.

• Alliance MUNSOC

  Member.

• Startup Club

  Member.

🎯 Hobbies & interests

• Chess