AI-ML
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leaveflow-employee-leave-management-system
April 16, 2026 – Present
A full-stack Employee Leave Management System built with Flask, React, and SQLite featuring admin dashboard, employee management, leave approval workflow, analytics, and export reports.
View ProjectNetraSetu-AI-Face-Recognition-Attendance-System
March 13, 2026 – Present
AI-based face recognition attendance system built with Python, Streamlit, and OpenCV, featuring automated attendance marking, smart dashboard analytics, and an AI chatbot for students.
View ProjectCybrathon-Project
February 7, 2026 – Present
Develop a tool to detect, separate, and match individuals from a group photo using a face recognition mechanism.
View ProjectUnified-AI-HUB
September 10, 2025 – September 10, 2025
Unified AI Hub is an all-in-one Streamlit-based AI toolkit that combines automation, machine learning, and computer vision in a single platform. It helps users perform multiple AI tasks easily from one dashboard.
View Projectmy-first-repo
August 8, 2025 – August 8, 2025
Basic Git & GitHub setup example – created a local repository, added a file, committed changes, and pushed to GitHub.
View ProjectSaundarya-Your-Personal-AI-Fashion-Stylist
June 30, 2025 – June 30, 2025
An intelligent AI-powered fashion stylist web app built using Streamlit and Gemini AI. Get personalized outfit analysis and style recommendations tailored for every occasion.
View ProjectAI-Vehicle-Recommender
June 9, 2025 – June 9, 2025
Gemini AI Vehicle Recommender System (With Real Images)
View ProjectJARVIS-AI-Assistant
June 6, 2025 – June 6, 2025
AI-based JARVIS assistant with voice, gesture, and emotion recognition using Python.
View ProjectAI-Social-Media-Post-Scheduler
June 6, 2025 – June 6, 2025
AI-powered Streamlit app to generate, schedule, and post social media content with Twitter integration using Gemini API. Upload images, customize post types, and manage approvals — all in one place.
View ProjectFlutter-Project-e-Commerce-app
August 15, 2024 – August 15, 2024
Flutter-Project-e-Commerce-app — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML and full-stack development, with one project specifically in Flutter for mobile. This indicates a diverse interest in technology. However, the depth of experience in mobile development specifically for the 'Mobile Developer' target role is limited to a single project, which might require further validation. The breadth of technologies used (Python, JavaScript, Dart) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.