Student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Leave-Management-Portal
May 18, 2026 – Present
A full-stack role-based Leave Management Portal built with React, Node.js, Express, and PostgreSQL (Supabase) featuring leave approvals, balance tracking, holiday management, and salary deduction workflows.
View ProjectAI-Academic-Integrity-Checker
March 26, 2026 – Present
AI-Academic-Integrity-Checker — GitHub repository
View ProjectMultimodel-Chatbot
March 2, 2026 – Present
A full-stack AI chatbot that goes beyond text. Upload images for AI analysis, drop PDFs for summaries & Q&A, or speak via your microphone — powered by Groq's Llama models. Built with React 18, Vite, Tailwind CSS, Node.js/Express & Supabase Auth. Features dark/light theme, beginner/detailed modes, chat history & TTS voice output.
View ProjectSmart-Expense-Tracker
February 27, 2026 – Present
A responsive web-based Student Expense Tracker developed using Python Flask, SQLite, Bootstrap, and Chart.js. The application allows users to track income and expenses, visualize spending patterns, and manage budgets efficiently.
View ProjectStudent-Frontend
December 7, 2025 – Present
Working on the Student tutor website frontend part
View ProjectResume-Analyser
December 5, 2025 – Present
A Streamlit-based web app that analyzes resumes and provides personalized career guidance with job role suggestions, skill gap analysis, and learning resources.
View ProjectHumanized-Vision-AI
November 5, 2025 – December 11, 2025
Humanized Vision AI is a real-time emotion detection system using computer vision and AI. It identifies human emotions like happy, sad, or angry from facial expressions, enabling more empathetic and adaptive interactions for education, healthcare, and smart systems.
View Projectmedical-cost-analyzer
November 1, 2025 – November 1, 2025
medical-cost-analyzer — GitHub repository
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, particularly those involving AI and full-stack development, demonstrates initiative, a strong learning drive, and a passion for technology. The diversity of projects (AI chatbots, expense trackers, leave management, emotion detection) suggests a broad interest and willingness to tackle different problem domains. This aligns well with a culture that values continuous learning and hands-on problem-solving. However, without specific team-based project experience or interview insights, assessing collaboration and interpersonal fit is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, suggesting adaptability. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.