Student Portfolio 2025

Vishal V V
Aspiring Cybersecurity Student

🔐 Security Focused
🤖 ML Powered
⚡ Innovation Driven

Passionate about building the future of digital security through machine learning and innovative project development.

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About Me

Student, learner, and future cybersecurity professional

student@cyber:~$
# Passionate computer science student
class Student:
def __init__(self):
self.passion = "cybersecurity"
self.coreskills = ["ML", "Python", "Security"]
self.goal = "protect_digital_world"

I'm a dedicated computer science student with a deep fascination for cybersecurity and machine learning. Currently building practical projects that combine both fields, from AI-powered security tools to predictive analytics applications.

My journey includes hands-on experience with machine learning models, security tool development, and participation in cybersecurity learning platforms like TryHackMe. I believe in learning by doing and constantly challenging myself with new projects.

3+
Projects
2
Certifications
∞
Curiosity
Currently learning and building

My Projects

Student projects exploring cybersecurity concepts and machine learning applications

agrifincaster

Agricultural forecasting and production/yield prediction application powered by machine learning models trained on government agricultural data. This intelligent system helps farmers and stakeholders make data-driven decisions for optimal crop planning and resource allocation.

Collaboration: Developed with Vihaan S for the CBSE Science Exhibition (2024-25)
$ python agrifincaster.py --predict --crop=wheat
Loading govt. agricultural dataset...
Processing weather & soil data for region...
ML Model: Random Forest Regressor (94.2% accuracy)
Predicted Yield: 4.2 tonnes/hectare ↗️ 12% increase
[INFO] Optimal planting window: March 15-25
Learn More → GitHub →

monie

Personal finance management and analysis tool leveraging machine learning algorithms to provide intelligent financial insights, spending pattern analysis, and budget optimization recommendations.

A Social Action Project (SAP)

$ python monie.py --analyze --period=monthly
Analyzing financial transactions...
Spending patterns identified: 5 categories
ML Insight: 23% overspend on dining detected
Budget recommendation: Reduce by $127/month
[ALERT] Unusual transaction pattern detected
Learn More → GitHub →

crypt

Comprehensive Python-based cybersecurity toolkit featuring modular encryption/decryption functions, password strength analysis, and educational cracking simulations. Designed for both CLI and web deployment with ethical security testing capabilities.

$ python crypt.py --encrypt --cipher=vigenere --key=SECRET
[INFO] Loading encryption modules...
Input: "Hello World"
Vigenère Cipher Applied → "Zincs Aisnh"
[INFO] Password strength: 87/100 ✅ Strong
[SIMULATION] Brute force time: ~2.3 years
[DICT] Found in rockyou.txt: ❌ Safe
Learn More → GitHub →

Skills & Learning

Technical skills developed through academic projects and self-directed learning

Cybersecurity Learning

  • Network Security Basics
  • Encryption & Cryptography
  • Password Security Analysis
  • Web Application Security
  • Linux Security Fundamentals
  • Security Tool Development

Machine Learning

  • Python ML Libraries
  • Data Analysis & Visualization
  • Predictive Modeling
  • Pattern Recognition
  • Feature Engineering
  • Model Training & Evaluation

Programming & Tools

  • Python (Advanced)
  • HTML/CSS/JavaScript
  • Git & Version Control
  • Linux Command Line
  • Database Fundamentals
  • API Development

Certifications

  • TryHackMe - Pre Security
  • TryHackMe - Advent of Cyber 2024
  • Currently pursuing more...

Let's Connect

Always eager to learn, collaborate, and discuss cybersecurity and machine learning

Email Me LinkedIn GitHub Discord - v3xg