Skip to content
View SANC18's full-sized avatar

Block or report SANC18

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Sanc18/README.md

Hi, I'm Sanchita Jain

CS student passionate about cybersecurity, machine learning, and open source.

What I'm building

Project Description Status
ml-intrusion-detection ML-based IDS with real-time alerts + SHAP explainability In progress
pyseccheck Python AST static analyzer for security vulnerabilities In progress
netflow-viz Network traffic anomaly visualizer (PCAP + Flask) In progress

Skills

Languages Python C C++ Java SQL

Security Network Analysis Static Code Analysis Vulnerability Detection Scapy Wireshark

ML / Data scikit-learn pandas NumPy SHAP TensorFlow (learning)

Databases DBMS SQL queries MySQL

Tools & Infra Git VS Code Jupyter Notebook Linux Flask Docker (learning) GitHub Actions pytest

Goals

  • GSoC 2026 — contributing to cybersecurity and security tooling orgs
  • MLH Fellowship — currently registered and pursuing
  • Grow into ethical hacking and penetration testing
  • Long term: security research, vulnerability disclosure, OSCP certification
  • Keep contributing to open source beyond programs — it's a practice, not a checklist

Connect

Pinned Loading

  1. pyseccheck pyseccheck Public

    Python AST-based static analyzer that detects security vulnerabilities — hardcoded secrets, SQL injection, unsafe eval, and more

  2. ml-intrusion-detection ml-intrusion-detection Public

    ML-based network intrusion detection system with real-time alerts, SHAP explainability, and a Flask dashboard

    Jupyter Notebook

  3. netflow-viz netflow-viz Public

    Interactive network traffic anomaly visualizer — parses PCAP/Zeek logs and renders connection graphs, time-series plots, and protocol breakdowns via a Flask dashboard