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Coding
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Coding
  • London
  • 08:23 (UTC -12:00)

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arpanjot-coding/README.md

Arpanjot · Android, applied AI, and developer tools

Privacy-first apps and practical AI

I build Android apps and AI tools with a focus on privacy and results you can verify. My work spans encrypted storage, on-device language models, and data visualization you can trace back to the source.

Selected work

  • AVault · An Android call recorder and encrypted audio vault built in Kotlin. It works without root and protects recordings with hardware-backed encryption and biometric access.
  • Datly · An AI data workbench that turns plain-English questions into charts and checks the results against the source data locally.
  • Local LLM for Android · A Java framework for running language models on Android with ONNX Runtime GenAI, including on-device document processing.

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  1. AVault AVault Public

    AVault - Call Recorder (No Root Required) | Privacy-first, hardware-encrypted audio vault for Android 12-16+. Rootless call recording via Shizuku with AES-256-GCM, biometrics & auto-cleanup.

    Kotlin 623 25

  2. Datly Datly Public

    High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.

    Python 238 1

  3. HumNod-Android HumNod-Android Public

    Offline AI for Android. Chat and work with files using language models that run on your phone.

    Java 1 1

  4. Image-enhancement-FFT Image-enhancement-FFT Public

    A Python-based project implementing image enhancement techniques using Fast Fourier Transform (FFT) to reduce noise and improve image quality.

    Python 4 3

  5. Sign-language-computer-vision Sign-language-computer-vision Public

    A computer vision-based sign language recognition system using MediaPipe and neural networks to classify static and dynamic hand gestures for real-time applications.

    Jupyter Notebook 5 2

  6. JPEG-image-compression JPEG-image-compression Public

    A Python implementation of JPEG image compression using the Discrete Cosine Transform (DCT) and Run-Length Encoding (RLE) to reduce image sizes while maintaining quality.

    Python 1 1