I build offline AI tools that make documents talk.
I build offline AI tools that make documents talk.
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
AI Automation & Full-Stack Product Developer
- 2x
- Hired
- 5.0
- Rating
- 17
- Followers
AI Automation & Full-Stack Product Developer
Bold branding, modern web, and custom code.
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
🚀 Take a look at our newly upgraded Enterprise POS architecture in action! We completely re-engineered this system, migrating from a Python CustomTkinter GUI to a lightning-fast Tauri front-end paired with a robust Python FastAPI backend.
🔄 The Architecture Upgrade: CustomTkinter to Tauri
Modern Web UI: We stripped away the rigid CustomTkinter framework and rebuilt the front-end using standard HTML, CSS, and vanilla JavaScript. This shift allows for pixel-perfect styling, fluid animations, and a much cleaner, responsive layout.
Decoupled FastAPI Backend: Instead of weaving the UI and database logic together, Python now acts as a standalone, high-performance API. The FastAPI backend handles all the heavy SQLite database operations, keeping the application incredibly snappy.
Seamless API Communication: The front-end and back-end now communicate flawlessly via local HTTP endpoints, allowing the UI to fetch live inventory and process checkouts asynchronously.
The Tauri Magic: Tauri wraps this entire modern web stack into a highly optimized, low-memory native desktop executable, automatically spawning the Python backend as a silent background sidecar process.
🛒 Live Sales Terminal: Watch how seamlessly the checkout flow operates. Users can quickly select products from a searchable catalog, append them to the live billing ledger, and instantly complete transactions with zero lag.
📦 Master Inventory Manager: Total control over stock is just a few clicks away. We showcase the live adjustment capabilities by selecting an item in the manual correction terminal, inputting an intervention magnitude of 55 units, and securely updating the database through a clean confirmation modal.
📊 Deep Analytics & Logs: Data drives decisions. The walkthrough highlights the comprehensive transaction ledger tracking real-time daily metrics—like total revenue, transaction counts, and top-selling products—alongside a detailed, modal-based Monthly Sales Summary.
⚡ This project proves that robust, localized SQLite databases and powerful Python backends can be perfectly paired with beautifully sleek, modern web-based user interfaces.
1
150
Take a look at the visual identity we crafted for Montburn! ⌚ We designed this modern watchmaker brand to embody timeless craftsmanship and understated luxury, perfectly capturing their core ethos: "The Quiet Statement".
🖋️ The Core Identity: We developed a sleek, geometric 'M' monogram enclosed in a perfect circle, drawing direct inspiration from craft, geometry, and time. We paired this sophisticated mark with refined primary typography (Aldhabi) and clean secondary fonts (Segoe UI Historic) to give the brand a heritage yet decidedly modern feel.
🤎 The Aesthetic: The entire visual system is rooted in minimal luxury, featuring a sophisticated color palette of deep leather browns, warm bronze, soft beige, and crisp off-white. We also integrated a rich, tactile leather texture into the brand pattern to emphasize the handcrafted nature of the timepieces.
📦 Real-World Application: To demonstrate how this identity translates to physical luxury, we mapped the design system onto a suite of high-end tangible assets. The identity scales flawlessly across minimalist business cards, elegant retail hang tags, and a premium presentation box.
This project showcases how a refined, minimal brand kit can elevate a product into a true luxury experience.
1
247
Step into the luxurious world of Aura & Amber! ✨ We designed this premium fragrance brand to exude elegance, sophistication, and a touch of the mystical.
🖋️ The Core Identity: We crafted a striking serif wordmark featuring sweeping, graceful flourishes, paired with a refined "A&A" interlocking monogram emblem framed by delicate laurel details. Anchored by the tagline "Ancient Mystery, Modern Grace" and an "Est. 2007" badge, the logo suite feels timeless and distinctly high-end.
🌲 The Aesthetic: The color system is pure luxury, built on a foundation of deep, moody emerald green contrasted with radiant metallic gold. Displayed alongside draped fabrics, a golden laurel branch, and raw amber stones, this aesthetic perfectly captures the rich, opulent essence of an elite eau de parfum.
🍾 Real-World Application: To showcase the brand in its natural element, we mapped the identity onto stunning packaging mockups. The sleek glass bottle with its heavy gold cap, paired with the matte green retail box, proves exactly how this visual system commands attention on a high-end vanity.
2
453
Fast fixed-scope Python/JS/TS + polished landing pages
Python & Excel Automation | Data Processing Specialist
New to Contra
Python & Excel Automation | Data Processing Specialist
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.
2
1
216
Just improved my Python Ping Monitor!
It now monitors a host, records its status and latency, and automatically generates a CSV file ready for data analysis.
Simple project, but very useful for troubleshooting network issues and turning raw monitoring data into useful information.
Next step: keep improving the analytics and visualization features.
0
45
A Professional Full Stack Developer
A Professional Full Stack Developer
View more →
Python Developer | Web Scraping & Data Automation
Python Developer | Web Scraping & Data Automation
The goal was to generate niche-targeted Instagram leads with verified emails for outreach and marketing purposes. I built a Selenium-based automation tool that scrapes profile links and emails from Google search results and Instagram. Data was stored in MongoDB and exported to Excel with clean formatting. This project helped my clients grow their contact list with real, actionable leads from their chosen niche
2
56
I developed a Python-based YouTube Data Extraction Tool to collect and organize detailed video analytics from YouTube channels.
This tool automates the process of gathering structured video data for market research, trend analysis, and content strategy.
2
57
I developed a Python-based automation bot that monitors internet speed and logs download/upload values every 15 minutes. The data is saved in real-time to a Google Spreadsheet, along with timestamps and direct result links from Speedtest.net (http://Speedtest.net). The bot can run silently or display a GUI countdown. It helps remote teams, IT professionals, and analysts track internet stability over time.
2
103