
M.Tech CSE at NIT Calicut | Flutter Developer | MERN Stack Developer | AIML | NSS Volunteer
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NITC-Hostel-Mess-Management-System
October 17, 2025 – November 14, 2025
Mess Management System for NIT Calicut
View ProjectAI-Enterprise-Task-Manager
September 9, 2025 – September 9, 2025
AI-Enterprise-Task-Manager — GitHub repository
View ProjectAI-Task-Agent
July 15, 2025 – July 15, 2025
AI Task Agent is a simple, Python-based task management tool designed to help you organize, track, and manage your daily tasks efficiently. With a focus on simplicity and extensibility, this project uses a straightforward file-based approach, making it perfect for learning, prototyping, or building your own custom task automation workflows.
View ProjectGratitude-Jar
July 10, 2025 – July 10, 2025
Gratitude Jar is a modern, full-stack personal journal app built with MongoDB, Express.js, React, and Node.js. Securely record, edit, and reflect on your daily thoughts and moments of gratitude. Features include user authentication, CRUD journal entries, search/filter, and a clean, responsive design.
View ProjectCoherence25_SacredScripts_WebApp
March 28, 2025 – March 29, 2025
Coherence25_SacredScripts_WebApp — GitHub repository
View ProjectSubtitle-Generator-App
March 21, 2025 – March 22, 2025
Subtitle-Generator-App — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web development (JavaScript, HTML, CSS) to data science/AI (Python, Jupyter Notebook). This breadth suggests adaptability and a willingness to explore different technical domains. The personal nature of all projects indicates self-motivation and initiative. The projects align reasonably well with a Data Scientist role, particularly those involving Python and machine learning concepts, suggesting a potential cultural fit for a role requiring continuous learning and problem-solving in data-centric areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.