Anshul Deep

@oAnshul | Developer & Reverse Engineer

Learn More About Me

About Me

I'm Anshul Deep, an Indian student known online as oAnshul. My passion lies in tackling technical challenges and developing innovative solutions through constant learning and exploration of new technologies.

Specializations:

  • Python automation
  • API Integration & Backend Development
  • Low-level DirectX development
  • Data management
  • Bot creation
  • Game hacking
  • Automating workflows

Programming Skills:

  • Proficient: Python, C++, C
  • Exploring: Java, JavaScript

Technical Skills

Python Expert

Advanced scripting, automation, and backend development

C/C++ Specialist

Low-level programming and system development

JavaScript

Web development and Discord bot creation

Featured Projects

Flarial Client Cover

Flarial Client (Minecraft Bedrock)

It is an Investor Backed Minecraft Bedrock mod with advanced features via DLL injection.

A comprehensive Minecraft Bedrock modification that adds extensive quality-of-life features using advanced DLL injection techniques.

Core Technical Contributions:

  • Setup DirectX 11 and DirectX 12 renderer using ImGui and Direct2D
  • Developed custom GUI system for stunning client visuals
  • Reverse engineered Minecraft Bedrock for memory hacking implementation

Major Features Developed:

  • Real-time Chat System: Custom API built with Python enabling in-game messaging
  • Proximity Voice Chat: Distance-based voice communication without third-party software
  • Spotify Integration: Full music control via Spotify API (play/pause, skip, volume control)
  • 3D Cosmetics Engine: Custom model parser rendering complex 3D models using game's 2D polygon system
  • Mouse Strokes Visualizer: Real-time mouse movement display for content creators
  • Custom Crosshair Editor: Built-in image editor with multi-color support and custom brush sizes
  • Block Outline Customization: Configurable 2D/3D block outlines with size and color options
C++ DirectX 11/12 ImGui Direct2D Python Spotify API DLL Injection Reverse Engineering Memory Hacking
NetherGames Tracker Cover

NetherGames Tracker

A verified Discord bot for tracking Minecraft player stats on NetherGames.

NetherGames Tracker is a verified Discord bot used by over 300 servers, designed to fetch and track player statistics from the NetherGames Minecraft server using its API. It provides real-time stats and unique tracking features for daily and weekly performance.

Core Technical Contributions:

  • Integrated NetherGames API for real-time player stats retrieval
  • Developed database architecture using MongoDB for stat tracking
  • Implemented efficient data storage and retrieval for historical stats

Major Features Developed:

  • Real-time Stats: Fetches player stats like kills, wins, and more via NetherGames API
  • Stat Tracking: Stores and tracks player stats over time for daily/weekly analysis
  • Custom Queries: Allows users to check specific metrics like "Games won in a week" or "Kills today"
  • Scalable Design: Supports over 300 Discord servers with high reliability
Python Discord.py NetherGames API MongoDB API Integration
NGGM Cover

NGGM (NetherGames Guild Manager)

A verified Discord bot for managing NetherGames guilds with advanced features.

NGGM or NetherGames Guild Manager is another verified Discord bot with over 100 servers, acting as a successor to NetherGames Tracker with more intricate features. Unlike its predecessor, NGGM tracks an entire guild of players rather than just one, offering advanced management tools not available in the Minecraft server itself.

Core Technical Contributions:

  • Enhanced NetherGames API integration for guild-wide stat tracking
  • Designed a robust MongoDB schema for guild and player data management
  • Mastered API integration techniques through this project

Major Features Developed:

  • Guild Management: Kick, invite, or promote guild members
  • Advanced Bans: Complete ban from joining a guild with a strike system
  • Goal System: Custom daily/weekly goals for guilds with automatic tracking
  • Stat Rankings: Displays player rankings within the guild based on stats
Python Discord.py NetherGames API MongoDB API Integration

Personal Projects

Blind Helper

Blind Helper is a portable assistive prototype I built for the Patna Science Championship 3.0 (Shivalik College of Engineering). It combines a Raspberry Pi 4–based vision module with an Arduino Uno that manages ultrasonic sensors and wearable haptic/buzzer actuators to provide intuitive directional cues.

Blind Helper is a portable assistive prototype I built for the Patna Science Championship 3.0 (Shivalik College of Engineering). It combines a Raspberry Pi 4–based vision module with an Arduino Uno that manages ultrasonic sensors and wearable haptic/buzzer actuators to provide intuitive directional cues.

Core Technical Contributions:

  • On-device obstacle detection using a Raspberry Pi 4 running a lightweight CV model (OpenCV / TFLite)
  • Multiple ultrasonic sensors managed by an Arduino Uno for reliable short-range sensing
  • Directional haptic feedback (left/right buzzer + vibration); both trigger for frontal alerts
  • Low-latency comms between Pi and Arduino for real-time responsiveness

Key Features:

  • Intuitive left/right arm cues to suggest movement
  • Compact, strap-mounted design (buzzer + haptic motor)
  • Sensor fusion (CV + ultrasonic) for improved obstacle detection in cluttered scenes
  • Battery-powered, with a simple diagnostics console for testing
Raspberry Pi 4 Arduino Uno Python OpenCV Ultrasonic Sensors Haptic Feedback

Mute-Deaf Translator

Mute-Deaf Translator is a wearable communication assistant I'm developing for upcoming science expos. It uses a Raspberry Pi 5 running a custom-trained, first-person sign-language model and a lightweight speech recognition pipeline to bridge communication gaps for mute or deaf users.

Mute-Deaf Translator is a wearable communication assistant I'm developing for upcoming science expos. It uses a Raspberry Pi 5 running a custom-trained, first-person sign-language model and a lightweight speech recognition pipeline to bridge communication gaps for mute or deaf users.

Core Technical Contributions:

  • First-person sign-language recognition using a camera mounted on a hat and a Pi 5 optimized model
  • Live speech-to-text translation pipeline that displays captions on a small cap-mounted screen
  • Controller-driven UI to switch modes, type via sign inputs, and trigger text-to-speech output
  • Real-time, low-latency processing with on-device inference and simple local UI for accessibility

Key Features & Workflow:

  • Two main modes: speech-to-text (live captions on cap screen) and sign-to-text/speech (camera captures hand signs)
  • Wearable layout: hat-mounted camera + screen, waist-mounted controller and processor for comfortable everyday use
  • Interactive controller lets user switch modes, edit detected letters/words, and trigger TTS output through the speaker
  • Custom-trained model tuned for first-person hand views to improve recognition accuracy
Raspberry Pi 5 Python TensorFlow / TFLite OpenCV Text-to-Speech Custom Sign-Language Model

Get in Touch

Location

India

Email

anshul@oanshul.in

Discord

oanshul

Instagram

@oAnshull