Aviral Mishra

NetScanner (Ongoing)

Overview: A network analysis tool that scans systems and identifies potential vulnerabilities.

Key Contributions:

• Designed frontend interface for scan visualization
• Built backend logic for rule-based threat detection
• Implemented risk classification system (Low / Medium / High)

Tech Stack: Python, FastAPI, JavaScript

Impact: Improves visibility of network risks and simplifies analysis for users.

Portfolio Website

Overview: A responsive personal website to showcase projects, skills, and work.

Tech Stack: HTML, CSS, JavaScript

EDITH (Inspiration • Ongoing)

Overview: EDITH is a developing AI assistant focused on automation, system control, and intelligent task execution. The project aims to integrate natural language understanding with real-time system operations, enabling users to interact with their environment through simple commands.

Core Components:

• Backend: Python-based logic for command handling and system orchestration
• AI Layer: Ollama-powered local language model for intent recognition and NLP
• Automation: OS-level control using Python libraries (os, subprocess, webbrowser)

Goal: To build a scalable, privacy-focused AI assistant capable of performing real-world tasks efficiently without reliance on cloud-based systems.