Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Projects
Languages
Timeline
Generic

Chandana S

Summary

Dynamic Android developer with hands-on experience at Intern, specializing in Kotlin and modern mobile practices. Successfully designed intuitive UI/UX components and integrated databases, leveraging Generative AI for enhanced application features. Proficient in Java and project management, fostering effective team collaboration to deliver impactful solutions.

Overview

1
1
Certification

Work History

Internship

Intern
Banglore
02.2026 - 05.2026
  • Utilized Generative AI tools and prompt engineering to enhance application design, streamline feature planning, and optimize code for effective problem-solving.
  • Designed and implemented user-friendly UI/UX components and navigation systems, enhancing user experience and ensuring seamless database integration.
  • Developed Android applications using Kotlin and Android Studio, following modern mobile development practices.

Education

B.E. - Computer Science and Design Engineering

SJC Institute of Technology
01-2026

PUC -

BGS P U College
01-2022

10th - ICSE

Aditya Public School

Skills

  • Web development
  • JavaScript
  • HTML
  • Java
  • Mobile Development
  • UI/UX
  • Project management
  • Team collaboration

Certification

  • UI/UX design using figma: Create a Weather app interface, Coursera
  • Python essential course, Cisco networking academy
  • OOPs with Java - Great Learning Academy
  • NPTEL - Programming in Java

Accomplishments

  • Achieved Runner-up position in Fine Art competition, demonstrating strong creativity and attention to detail.
  • Secured a place in the top 3 of a Hackathon for innovative problem-solving and teamwork.

Projects

Jenu-Gumpu – AI-Powered Honey Producer Management App

Developed an Android application using Kotlin and Room Database to help tribal and rural honey producers manage harvest records, honey grading, price monitoring, batch tracking, and collective stock management. Integrated AI-based price prediction concepts and designed a user-friendly interface to support fair pricing, improve productivity, and reduce dependency on middlemen.

AI-Powered Depression and Emotional State Detection System

Developed a web-based application that uses Machine Learning and Natural Language Processing (NLP) techniques to analyze user inputs and detect depression levels and emotional states. The system provides early mental health insights, emotion classification, and personalized recommendations through an interactive and user-friendly interface.

Vehicle Detection and Tracking System

Developed an AI-powered vehicle detection system using Computer Vision and Deep Learning techniques to identify, classify, and count vehicles from images and video streams. The system improves traffic monitoring, vehicle analysis, and transportation management by providing accurate real-time detection and tracking.

Languages

  • Kannada
  • English
  • Kannada

Timeline

Internship

Intern
02.2026 - 05.2026

B.E. - Computer Science and Design Engineering

SJC Institute of Technology

PUC -

BGS P U College

10th - ICSE

Aditya Public School
Chandana S