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.
🛒 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.
1
2
250
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.
3
246
AuraSort scans any folder and automatically sorts files into named subfolders by type — Documents, Images, Videos, Audio, Code, Archives, and more.
Files are renamed to clean, consistent lowercase format. Every operation is logged live on screen as it happens.
Built with a Dry Run mode so users can preview exactly what will move before anything is touched.
Full undo restores every file to its original location with one click. An HTML report is generated after each sort showing every file moved, every category created, and total time taken.
Pure Python. Zero external libraries. Works on any machine without installation.
2
230
A fully offline document summarizer built in pure Python. Uses TF-IDF scoring, position weighting, and Jaccard deduplication to extract the most important sentences from any PDF, DOCX, or TXT file — each labeled with a relevance percentage.
The result looks like this:
[1] [100% relevance] The algorithm achieved 94% accuracy on benchmark tests.
[2] [81% relevance] Training was performed on 50,000 labeled samples.
[3] [67% relevance] Results were validated using 5-fold cross validation.
Supports PDF, Word, and TXT files. Saves summaries to your computer. Runs completely offline. No subscriptions, no API keys, no internet required.
1
211
Built AuraChat v3.0 — a fully offline Document Intelligence desktop app in pure Python. Users upload any PDF, Word, or TXT file and ask questions in plain English. The system returns cited answers with confidence scores instantly.
Technical highlights:
— Custom NLP engine using TF-IDF scoring + hybrid token overlap analysis
— 1,700× faster indexing than baseline on 500-page documents
— Multi-threaded processing — UI never freezes during heavy indexing
— Supports PDF, DOCX, and TXT file formats
— Zero external APIs — runs completely offline on the user's machine
— 23 production-grade bugs identified and resolved before delivery
This is not a demo. This is production-ready software built with clean architecture, full error handling, keyboard shortcuts, chat export, source citations, and confidence indicators
1
212