Hello! I Am
Prem Rauniyar

Greetings! I'm an ambitious B.Tech student majoring in Computer Science and Engineering, dedicated to staying at the forefront of technological innovation. With a strong foundation in C++, full-stack development, and web technologies, I bring hands-on experience in building scalable, efficient, and user-centric solutions. My expertise spans both frontend and backend systems, supported by a solid grasp of database design and software architecture.

Throughout my academic journey, I’ve translated theoretical concepts into impactful projects, demonstrating analytical thinking, technical proficiency, and a results-driven mindset. This practical exposure has shaped a problem-solving approach grounded in precision and innovation.As I look ahead to the professional realm, I’m driven to contribute to forward-thinking teams, embrace emerging technologies, and deliver solutions that make a meaningful impact.

Hire Me See My Work
Academic Background

Education

Mar 2018 – Jun 2019
Biratnagar, Nepal

GRADE X, National Examination Board
(NEB)

Arpan English School
Cumulative GPA: 3.6/4
  • • Rank 1 in School
Aug 2019 – Jul 2021
Biratnagar, Nepal

GRADE XII, National Examination Board
(NEB)

Shikshadeep Higher Secondary School
Cumulative GPA: 3.29/4
Aug 2021 – Jul 2025
Bengaluru, India

Bachelor of Technology in Computer Science and Engineering

Jain Deemed to Be University
Cumulative GPA: 8.6/10
  • • Full scholarship recipient through Pragati Scholarship (IND-SAT) funded by Study in India (EDCIL)
My Skills

Technical & Professional Skills

Technical Skills

Programming Languages:
Python C++ Java HTML CSS JavaScript
Tools:
NodeJS React Excel SQL MongoDB Flask VS Code Git Canva Microsoft Office
Software Testing:
Integration Testing Regression Testing Unit Testing

Soft Skills

Professional Competencies:
Leadership Teamwork Adaptability Continuous Learning Effective Writing Verbal Communication Analytical Thinking Decision Making Attention to Detail
Additional Skills:
Problem Solving Critical Thinking Time Management Project Management Research Content Writing Content Adaptation & Implementation
Recent Work

My Projects

AgeGuard

AgeGuard: Advanced 18+ Content Blocking and Safe Browsing Extension

JavaScript HTML CSS Chrome APIs Face-api.js WebRTC
  • • Designed a privacy-first Chrome extension that uses face detection to identify user age in real time.
  • • Blocks access to adult content if the detected user is underage using webcam.
  • • Integrated face-api.js with Chrome APIs to perform real-time age classification.
  • • Technologies Used: JavaScript, HTML, CSS, JSON, face-api.js, WebRTC, Manifest V3
  • View Source Code
AgriRec

AgriRec: Decision Tree Based Agricultural Crop Recommendation with Web Platform Integration

Machine Learning Python Flask Decision Tree Classifier
  • • Uses Decision Tree Classifier to recommend the best crop.
  • • Takes input like soil nutrients (N, P, K) and pH value.
  • • Considers environmental factors like rainfall, humidity, and temperature.
  • • Technologies Used: Python, Flask, Scikit-learn
  • View Source Code
CardioVisionary

CardioVisionary: Boosting Based Cardiac Disease Prediction using ML Techniques

Machine Learning Python Flask Scikit-learn Gradient Boosting
  • • Predicting cardiac diseases using ML boosting techniques.
  • • Evaluated models like Logistic Regression, SVM, and Random Forest.
  • • Gradient Boosting achieved the best performance and was deployed.
  • • Integrated a user-friendly web interface for real-time predictions.
  • • Technologies Used: Python, Flask, Scikit-learn
  • View Source Code
Motion-Detector-Chrome-Extension

MotionDetector: A Chrome Extension for Real-Time Webcam-Based Movement Detection

JavaScript HTML CSS Chrome APIs
  • • Built a lightweight Chrome Extension that uses the webcam to detect motion in real-time.
  • • Implemented a responsive UI that updates live status: “Motion Detected!” or “No motion detected.
  • • Designed for simplicity—no external dependencies, just plug-and-play.
  • • Technologies Used: JavaScript, HTML, CSS, Chrome Extension APIs
  • View Source Code
SafeBrowse

SafeBrowse: A Chrome Extension for Real-Time Malicious URL Detection

JavaScript HTML CSS Chrome APIs JSON
  • • Developed a Chrome browser extension that protects users from phishing, malware, and scam websites.
  • • Redirects users to a custom warning page when malicious activity is detected.
  • • Continuously monitors URLs in real-time and blocks access to unsafe domains.
  • • Technologies Used: JavaScript, Manifest V3, HTML, CSS, JSON, Chrome Extension API
  • View Source Code
SecureLogger

SecureLogger: AI-Based Keystroke Monitoring & Bot Detection

Python Machine Learning AES Encryption Random Forest
  • • Advanced AI-enhanced keystroke logger that detects bots using keystroke dynamics.
  • • ML model (Random Forest) classifies human vs. bot typing behavior in real time.
  • • Features automatic log clearance and real-time anomaly detection.
  • • Dataset generated from real and synthetic keystrokes with preprocessing.
  • • Technologies Used:: Python (pynput, numpy, pandas), Scikit-learn, PyCryptodome.
  • View Source Code
Friday - AI Voice Assistant

Friday: Your Personal AI Voice Assistant for Smarter Everyday Taskst

Python SpeechRecognition pyttsx3 Tkinter Wikipedia API
  • • Designed a voice assistant to automate tasks like web search and note-taking.
  • •Integrated speech recognition for seamless, real-time, hands-free user interaction and control.
  • • Developed a GUI using Tkinter for an interactive user experience.
  • • Technologies Used: Python, SpeechRecognition, pyttsx3, Tkinter, Wikipedia API
  • View Source Code
Secure Login System

SecureLogin: A Flask-based Multi-Factor Authentication (MFA) System

Python Flask Email OTP MFA
  • • Built a robust Flask-based login system with Multi-Factor Authentication (MFA) via email OTP.
  • • Implements secure user authentication with encrypted password storage and OTP verification.
  • • Prevents brute-force attacks and unauthorized access through session control and login attempt limits.
  • • Customizable settings for OTP expiry, email configuration, and UI elements.
  • • Ideal for personal, educational, and corporate login systems requiring enhanced security.
  • • Technologies Used:: Flask, Python, SQLite, smtplib, hashlib, secrets.
  • View Source Code
Software Requirement Specification

Software Requirement Specification Document Analysis and Parameter Identification Using ML

Machine Learning PyMuPDF Python Scikit-learn LangChain
  • • Extracts key parameters from SRS documents using ML & NLP.
  • • Automates requirement categorization with text classification.
  • • Includes Chatbot using LangChain for clarifying unclear SRS requirements
  • • Technologies Used: Python, PyMuPDF, NLP, LangChain, Scikit-learn
  • View Source Code
ShieldPass

ShieldPass: Secure Password Storage with Real-Time Breach Warnings

Python Tkinter SQLite Fernet Encryption Have I Been Pwned API
  • • Offline password manager that securely encrypts and stores credentials.
  • • Integrates Have I Been Pwned API to check for password breaches in real time.
  • • Built-in GUI using Tkinter for easy password management and retrieval.
  • • Maintains an activity log for breach alerts, saves, and retrieval attempts.
  • • Technologies Used:: Python, SQLite, Cryptography, Requests, Tkinter, Logging.
  • View Source Code
Academic Contributions

Papers & Publications

2025

AgriRec: Decision Tree-Based Agricultural Crop Recommendation with Web Platform Integration

IEEE INOACC- 2025

• Developed a web-based system using Gradient Boosting (98.37% accuracy) on the UCI Heart Disease dataset, integrating a trained model for real-time diagnosis and preventive recommendations.
• The platform allows users to input soil parameters and get instant crop suggestions tailored to environmental conditions.

2025

CardioVisionary: Boosting Based Cardiac Disease Prediction using ML Techniques

IEEE INOACC- 2025

• Developed a web-based system for cardiovascular disease prediction using the UCI Heart Disease dataset (920 samples, 16 attributes). Gradient Boosting achieved 98.37% accuracy, and the trained model was integrated into a user-friendly platform with HTML, CSS, and JavaScript for real-time diagnosis and preventive recommendations.

2025

Software Requirement Specification Document Analysis and Identification of Important Parameters for Development through Machine Learning

I2ITCON-2025

• Automated SRS document analysis using TF-IDF and SVM on 94 records, integrating PDF text extraction and a Flask-based chatbot with LangChain for classification assistance, reducing manual effort and improving accuracy.

Get in Touch

Any Questions? Feel Free to Contact

Siddhartha Chowk, Biratnagar-9, Nepal

+977 9804010677 / +91 8294699972

premrauniyar2019@gmail.com

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