Swati Gour
AI & Python Developer | LLMs, NLP & Automation
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Developed an end-to-end face recognition system for biometric identity verification, with support for both image uploads and real-time webcam capture. The platform allows users to register facial identities, verify individuals against registered profiles, and monitor system performance through database statistics and verification metrics. Built an interactive interface with API integration, confidence scoring, processing-time tracking, and registration history to provide a complete authentication workflow.
Key Features
- Face registration using uploaded images or webcam
- Identity verification against registered users
- Facial confidence scoring
- Real-time webcam integration
- User and face-entry database management
- Registration history and timestamps
- API status monitoring
- Verification processing-time metrics
- Daily verification analytics
- Interactive biometric authentication dashboard
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32
Built an AI-powered blog editor that streamlines the entire content creation workflow. The system uses AI to generate structured blog content and automatically pre-fills the relevant editor fields, including titles, descriptions, sections, and content. It also provides suggestions and recently updated blogs, allows users to load existing content from the repository for further editing, and integrates Pixabay for directly sourcing images within the editor. The section-based architecture makes it easy to generate, organize, edit, and publish structured blog content from a single interface.
Key Features
- AI content generation with automatic field population
- Structured/section-based blog generation
- Blog suggestions and recently updated content
- Repository integration to load and edit existing blogs
- Pixabay integration for image search and selection
- Rich-text editing and content formatting
- End-to-end content creation workflow
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49
Designed and managed the complete end-to-end business workflow for a RaceNet data scraping and reporting system. Built the scraper to collect race and horse data, processed and structured the extracted information, and automated its export into formatted Excel/Google Sheets reports. The system included date-based scraping, real-time execution controls, data transformation, and report generation, reducing manual data collection and improving the efficiency of the overall reporting process.
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35
Developed a Python-based Google search scraper to automate keyword research and URL collection. The tool extracts search-result URLs, identifies overlapping URLs across multiple keywords, and presents the results in a structured interface for efficient analysis.
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34