See how we brought the Dine So Fine visual identity straight into their daily operations! 🍔 For this project, we took our robust Enterprise POS architecture and completely reskinned it to match the vibrant, energetic brand we built for this fast-casual restaurant.
🖥️ The Custom UI: We stripped away the standard dark mode and injected the software with Dine So Fine's signature aesthetic. The interface now features a warm, inviting background, bright orange and red navigation buttons, and their custom food-illustration pattern subtly framing the workspace. The brand's chef-hat logo sits proudly at the top of the navigation interface, ensuring the software feels like a true extension of their restaurant.
đź›’ Live Restaurant Billing: The screen highlights the live accounting transaction preview in action, effortlessly handling high-volume fast-food orders like pizzas, shawarmas, and burgers with real-time PKR calculations.
⚙️ Under the Hood: While it looks playful and completely bespoke on the outside, it runs on our lightning-fast, localized Python/SQLite architecture on the inside—guaranteeing they can process orders rapidly without ever worrying about internet outages.
This project is a showcase of Team Leaf's capabilities: marrying high-end brand identity design with heavy-duty software engineering to create a seamless, end-to-end business solution.
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This desktop application automates the creation of customs import templates for SAT compliance. Built entirely in Python, the tool reads commercial invoices and quality certificates in PDF format. It extracts critical data such as shipping dates, pricing, weights, and chemical compositions using regular expressions and data frames. The system then processes this information to dynamically generate a fully formatted Microsoft Word document. Packaged as a standalone executable with a clean graphical user interface, it replaces a manual, error-prone data entry process with a fast, reliable, and standardized automated solution.
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AuraExtract — Intelligent Invoice & Receipt Data Extractor
The extraction engine uses intelligent regex pattern matching that handles real-world invoice layouts — column-per-line PDF formats, inline tabular formats, and plain text documents. It detects 10 fields automatically and parses up to 20 line items per invoice.
Supports PDF, TXT, and DOCX formats. Includes a raw text preview panel so users can verify exactly what the engine is reading. CSV export includes both the summary fields and full line items table — ready to open directly in Excel.
Pure Python. Zero external dependencies beyond pypdf for PDF reading.
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About 2 months ago, I built an Encryption Suite — a versatile tool for encrypting text, files, and folders with Flask, Python GUI, and CLI support.
Highlights:
🔹 Password & key-based encryption
🔹 Web UI, GUI, and CLI in one project
🔹 Fernet and demo ciphers like Caesar
🔹 Simple yet powerful for all users
It’s a fun experiment in multi-interface app design, blending web, desktop, and command-line experiences under one secure system.
đź”—Github: https://github.com/aman-sharma-dev/pycryption
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