AI | ML | Application Developer Passionate about building Smart Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fashion-classification-model
April 18, 2026 – Present
This is a ML Image Classification Model, that classifies Indian Clothes into categories using PyTorch and TorchVision. (Trained on ResNet - 18).)
View ProjectRPA-Accounting
November 26, 2025 – Present
Process automation is used for checking reading Invoices, validating them, creating a new logs of valid invoices, and sending emails for conformation. All done using Automation
View ProjectDisaster-Prediction-AI
July 24, 2025 – Present
Disaster Prediction AI is a machine learning-powered application that predicts flood and earthquake risks using real-time environmental data. It provides accurate, user-friendly insights for disaster preparedness and response.
View ProjectMovieScan
July 17, 2025 – July 24, 2025
MovieScan is a modern Android app built with Kotlin, MVVM, Retrofit, and Coil. It uses the TMDB API to display popular movies with posters, ratings, release dates, budget, and more.
View ProjectGPTalk
July 17, 2025 – July 24, 2025
An interactive AI-powered chatbot Android app built with Kotlin.Designed for real-time user queries and dynamic response handling.
View ProjectVisual-Chat
July 7, 2025 – July 24, 2025
Visual Chat is an AI-powered image captioning and similarity tool that generates accurate captions for your uploaded images while also recommending visually similar images using advanced machine learning techniques.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, including several in AI/ML which are not directly aligned with the 'Android Developer' target role. While demonstrating initiative, the diversity of projects outside Android development might indicate a broader interest that needs to be validated for focus on the target role. The lack of professional experience or education details makes it difficult to assess cultural fit in a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.