Desktop Apps Development Projects in Lahore
Desktop Apps Development Projects in Lahore
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1
Umaima Iqbal
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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89
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Sara
Bubble App – Social Streaming UI/UX
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0
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Umar Abbas
Assembly Production - Live Performance Monitor
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6
0
Aanish Waseem
Google Maps Replica
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2
2
Umaima Iqbal
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.
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111
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Umar Abbas
Market Research Data Visualization
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2
0
Aanish Waseem
Space shooter game
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0
0
Abdul Ahad
Weather Application
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7
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Mohammad Ali
Lie Detector
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6
0
Muhammad Naeem
QuodArca
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0
0
Umer Sharif
pro
Online Payment , Terminal & eCheck/ACH Payment Integration
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12
1
Umaima Iqbal
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
109
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Umar Aziz
umar1110/Mobile_Ecommerce_MERN_web
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4
0
Muhammad Umar Farooq
Bloomberg Posts Scraping
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6
0
Aanish Waseem
GitHub - aanishwaseem/booksearchengine
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2
0
Umar Abdullah
max
Chrome Extension Development for school's student Monitoring
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3
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