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Umaima Iqbal's avatar
Umaima Iqbal
Lahore, Pakistan
I build offline AI tools that make documents talk.
New to Contra
I build offline AI tools that make documents talk.
Cover image for AuraExtract — Intelligent Invoice &
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.
1
85
Cover image for AuraSort scans any folder and
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
105
Cover image for A fully offline document summarizer
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.
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104
Cover image for Built AuraChat v3.0 — a
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
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122
Tkinter(4)
Alessandro Federici's avatar
Alessandro Federici
pro
Bologna, Italy
AI & Automation Developer, I'll build your App / Automation
2x
Hired
5.0
Rating
12
Followers
AI & Automation Developer, I'll build your App / Automation
Cover image for AF Speech: Offline AI Desktop App Development
AF Speech: Offline AI Desktop App Development
0
8
Cover image for AI Voice Booking Agent
AI Voice Booking Agent
0
4
Cover image for AI Cold Outreach Platform
AI Cold Outreach Platform
0
1
Cover image for Business Analyzer (AI Report)
Business Analyzer (AI Report)
0
3
Tkinter(1)
Vaibhav Mishra's avatar
Vaibhav Mishra
Faridabad, India
A Professional Full Stack Developer
A Professional Full Stack Developer
Cover image for Face Recognition and Verification System Development
Face Recognition and Verification System Development
1
1
Cover image for OCR Python Script Development
OCR Python Script Development
1
0
Cover image for Rice Grain Species Classification using Machine Learning
Rice Grain Species Classification using Machine Learning
1
0
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Tkinter(2)
Prajjwal Barmaiya's avatar
Prajjwal Barmaiya
Delhi, India
punctual, motivated, hardworker, Quick Learner
punctual, motivated, hardworker, Quick Learner
Cover image for Automatic Attendance System with Face Recognition
Automatic Attendance System with Face Recognition
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2
Cover image for RISC-V Based Single-Cycle Core Design
RISC-V Based Single-Cycle Core Design
1
3
Cover image for Music-Player-Using-HTML-And-CSS
Music-Player-Using-HTML-And-CSS
1
2
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Tkinter(1)
Aaron Segiel's avatar
Aaron Segiel
Boca Raton, USA
AI engineer and Web Developer
AI engineer and Web Developer
Cover image for AI Code Reviewer Application Development
AI Code Reviewer Application Development
0
7
Cover image for Web Scraping for News Titles
Web Scraping for News Titles
0
10
Cover image for CIFAR-10 Image Classification with CNN
CIFAR-10 Image Classification with CNN
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8
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Tkinter(1)
Revaz Goguadze's avatar
Revaz Goguadze
Imereti, Georgia
Transforming ideas into scalable, high-performance apps
10
Followers
Transforming ideas into scalable, high-performance apps
Cover image for MGEE Random File Generator: Enhancing Puzzle Game Complexity
MGEE Random File Generator: Enhancing Puzzle Game Complexity
1
4
Cover image for AI-Powered Icon Generator Utilizing TAMS TensorArt API
AI-Powered Icon Generator Utilizing TAMS TensorArt API
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16
Cover image for Curated Digital Library Showcasing Hedi Slimane's Fashion Legacy
Curated Digital Library Showcasing Hedi Slimane's Fashion Legacy
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5
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Tkinter(1)