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Full-Stack Developer passionate about AI, building innovative software, and solving real-world problems. Continuously improving skills in web development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Banking-Website
May 7, 2026 – Present
A full-stack banking web application built with a Flask REST API backend and a React frontend. Designed to simulate a real-world internet banking portal with standard security practices.
View ProjectExpense-Tracker
March 26, 2026 – Present
A Flask web app for tracking personal finances — log income and expenses, set up recurring transactions, get AI-powered insights, and parse receipts using a local Ollama model.
View ProjectCustomer-Churn-Prediction-Model
March 17, 2026 – Present
A Streamlit ML web app that predicts telecom customer churn in real-time using scikit-learn, with a custom dark-themed UI.
View ProjectSemantic-Book-Recommender
March 5, 2026 – Present
A Streamlit app that uses sentence transformers and vector similarity search to recommend books based on natural language queries and emotional tone.
View ProjectHoney-Pot-for-Scam-Detection-Intelligence-Extraction
January 25, 2026 – Present
AI-powered Agentic Honey-Pot API that detects scam intent, engages scammers in multi-turn conversations using a human-like persona, extracts actionable intelligence (UPI IDs, phishing links, phone numbers, bank details), and reports results to the GUVI evaluation system. Built for the HCL–GUVI India AI Impact Buildathon.
View ProjectUIDAI-Hackathon-2026
January 17, 2026 – Present
This project was developed for the UIDAI Data Hackathon 2026 and analyses anonymised Aadhaar enrolment, biometric update, and demographic update data to identify regional patterns and service demand.
View Projectuidai-aadhaar-service-stress
January 15, 2026 – Present
This project was developed for the UIDAI Data Hackathon 2026 and analyses anonymised Aadhaar enrolment, biometric update, and demographic update data to identify regional patterns and service demand.
View ProjectCultural Fit Analysis
The candidate has a strong focus on personal projects, many of which align with data science and AI/ML. The diversity of projects, from financial tracking to scam detection and customer churn prediction, indicates a broad interest in applying technical skills to various domains. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse personal projects, suggesting self-motivation and initiative. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.