I am a B.Tech Information Technology student at Asansol Engineering College, interested in software engineering, artificial intelligence, computer vision, cybersecurity, and open-source development.

I enjoy building practical applications, understanding how systems work, testing their limitations, and improving their reliability.

My current areas of interest include:

• Software Engineering
• Artificial Intelligence and Machine Learning
• Computer Vision and Deep Learning
• Biometric Authentication and Security
• Python Backend Development
• Rust Development
• REST API Development
• Database Applications
• Open Source Contribution

Education: B.Tech in Information Technology, 2023–2027 CGPA: 7.14 / 10 Primary Language: Python

Developed a deep learning-based face biometric authentication system focused on secure identity verification.

• Implemented face detection, image preprocessing, and biometric verification.
• Developed authentication workflows with quality checks and threshold-based decisions.
• Evaluated genuine and impostor verification performance using FAR, FRR, EER, and accuracy.
• Explored presentation attack detection concepts and security-oriented testing.

Technologies: Python, TensorFlow, OpenCV, Deep Learning, Computer Vision

AI-Based Scam and Fraud Detection System

• Developed an AI-based application for identifying potentially suspicious and fraudulent messages.
• Implemented data preprocessing, security-feature extraction, classification, risk analysis, and explanations.
• Focused on applying machine learning to practical cybersecurity problems.

Technologies: Python, Machine Learning, Scikit-learn, Flask, Cybersecurity

Multimodal Biometric Authentication System

• Developed a biometric authentication system using palmprint and handwritten signature recognition.
• Implemented enrollment, verification, image-quality checks, and verification history.
• Built application workflows using Flask, TensorFlow, OpenCV, and SQLite.

Technologies: Python, Flask, TensorFlow, OpenCV, SQLite

Deep Learning-Based Plant Disease Detection

GitHub Repository

• Developed a CNN-based plant disease classification application using leaf images.
• Implemented image preprocessing, model inference, and prediction workflows.
• Evaluated incorrect predictions and analyzed model limitations.

Technologies: Python, TensorFlow, Keras, CNN, OpenCV

AI-Powered Resume Analysis and Career Guidance System

GitHub Repository

• Built an AI-powered application for analyzing resumes against target job roles.
• Identifies relevant skills, missing skills, and areas for improvement.
• Supports career-oriented analysis using document processing, retrieval, and AI-powered responses.
• Designed the system to support both technical and non-technical job roles.

Technologies: Python, Streamlit, Google Gemini API, NLP, RAG, PDF Processing

I actively explore open-source software development and collaboration by working with existing codebases, understanding project structure, improving documentation, fixing issues, and submitting contributions.

Recent contribution work has included projects involving Python and Rust, giving me practical experience working with unfamiliar repositories, Git branches, upstream repositories, testing, and pull requests.

Areas I am currently exploring:

• Python
• Rust
• AI/ML
• Computer Vision
• Cybersecurity
• Developer Tools

Python, Rust, C, C++, JavaScript, SQL

TensorFlow, Keras, Scikit-learn, Deep Learning, CNN, Image Classification, Model Evaluation

OpenCV, Image Processing, Face Recognition, Biometric Authentication, Palmprint Recognition, Signature Recognition, Authentication Systems, Cybersecurity

Flask, FastAPI, Django, REST APIs, HTML, CSS, JavaScript

MySQL, SQLite, SQL

Git, GitHub, VS Code, Linux/UNIX, Google Colab

• Data Structures and Algorithms
• Object-Oriented Programming
• Operating Systems
• Computer Networks
• Database Management Systems
• Software Engineering
• Problem Solving

Oracle Certified Agentic AI Foundations Associate July 2026

AWS Training & Certification — Foundations of Prompt Engineering August 2026

Oracle Cloud Infrastructure 2025 AI Foundations Associate August 2025

• Participated in Smart India Hackathon (SIH).
• Active problem-solving practice on GeeksforGeeks and HackerRank.
• Built practical projects across AI, computer vision, cybersecurity, biometric authentication, and software development.
• Gained hands-on open-source contribution experience through Git, GitHub, pull requests, testing, and working with existing codebases.

Data Structures & Algorithms
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Python & Rust
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Software Engineering
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Backend Development
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AI / Machine Learning
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Computer Vision & Cybersecurity
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Open Source Contribution

I use GitHub to build projects, experiment with technologies, practice software engineering, and contribute to open-source projects.

GitHub: github.com/SwetaKumari7