Android Development Intern | Google Developer Group on Campus Lead '25 | B.Tech CSE '26 | GITAM HYD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Real-Time-ECG-Monitoring-and-Arrhythmia-Detection-Using-Edge-AI
January 21, 2026 – Present
An Android application that performs real-time arrhythmia detection using deep learning. The system demonstrates on-device ECG inference using a trained neural network.
View Projectthrift-it
December 27, 2025 – Present
A buy & sell marketplace app focused on students and local communities. Thrift It helps users list unused items and discover nearby deals within their university, hostel, or organization. Built with Kotlin + Jetpack Compose, designed around an offline-first architecture for reliability even on unstable networks.
View Projectone-badge
August 8, 2025 – Present
For fans who live and breathe their team. OneBadge keeps you connected with live scores, match news, and stats - all in one place!
View Projectlearning-curve
February 5, 2025 – July 12, 2025
Learning Curve is a native Android app developed with Kotlin Jetpack Compose. The app delivers personalized course recommendations by analyzing user interest tags—the more tags that match, the higher a course is ranked.
View ProjectVoice-To-Text-Ai
October 21, 2024 – October 15, 2025
Voice-To-Text-Ai — GitHub repository
View Projectcompose-actors
December 11, 2021 – July 24, 2025
:robot: Android app built with jetpack :rocket: compose follows new revamped guide to app architecture. Implemented with State, Coroutines :curly_loop:, ViewModels, Repository pattern, Light/Dark theme :rainbow: MD3, Animations, Draw on canvas, Custom layouts, UI state handling, :cyclone: Image loading with coil, Palette :art: usage and dynamic theming etc.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on Android development, which aligns well with the target role. However, the lack of team-based projects or diverse technology exposure limits the assessment of broader cultural fit and collaboration experience. The projects demonstrate initiative and a passion for learning new technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive and self-driven individual, but this cannot be formally evaluated without psychometric test results or interview data.