Seeya AI — Offline Desktop Assistant
An offline desktop assistant app. Designed to run completely on your local computer for system automation, local file search, voice control, and privacy focused.
I’m Himanshu, a 2nd-year BS CSDA student at IIT Patna. I write Python scripts, build offline desktop software, develop web platforms, and explore quantitative data analytics with Pandas & NumPy.
Building desktop applications Seeya AI that operate completely offline. Prioritizing user privacy and system integration.
Developing tax engines that parse Form 16 financial docs using OCR, automated math, and regime optimization.
Utilizing Pandas, NumPy, and Matplotlib to wrangle datasets and compute statistical summaries.
Exploring 2D games, physics interactions, and GDScript in the Godot Game Engine.
An offline desktop assistant app. Designed to run completely on your local computer for system automation, local file search, voice control, and privacy focused.
A full-stack financial tax calculation platform that scans Form 16 PDF documents using OCR, extracts income and deduction fields automatically, and calculates optimal Old vs. New Tax Regime filing strategies.
A production web site engineered for AnantVyom Tech (`anantvyom.tech`). Built with responsive CSS Grid/Flexbox layouts, fast page load speeds, and clean web architecture.
Python: Application logic, desktop GUIs, automation scripts.
JavaScript & HTML/CSS: Responsive web frontends & DOM styling.
GDScript: 2D Game scripts in Godot.
Pandas: DataFrames, tabular data cleaning, analysis.
NumPy: Vectorized matrix math & array operations.
Matplotlib: Plotting data distributions & visualizations.
FastAPI & Web: Backend REST services & web APIs.
OCR Pipelines: Extracting text from Form 16 PDFs.
Godot Engine: Game loops & 2D physics exploration.
Shell / Bash: Scripting system tasks & pipelines.
Git & GitHub: Version control & collaboration.
PyInstaller: Packaging offline Python desktop apps.
Focusing on computer science fundamentals, data structures, linear algebra, probability, and quantitative data analysis while building software tools and web applications.
Feel free to reach out for software engineering projects, data analytics collaborations, or internships.
imanshu.social@gmail.com