{"id":31727275,"url":"https://github.com/rudra-gohil/unstop_comp","last_synced_at":"2026-04-16T17:36:31.285Z","repository":{"id":313598073,"uuid":"1051977194","full_name":"rudra-gohil/Unstop_comp","owner":"rudra-gohil","description":"24 Build a tool that identifies invasive plant or insect species from a user's photo to help control their spread.","archived":false,"fork":false,"pushed_at":"2025-09-07T06:30:19.000Z","size":87101,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-07T08:29:49.915Z","etag":null,"topics":["adam-optimizer","group-normalization","group-theory","julia","typescript"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rudra-gohil.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-07T06:06:40.000Z","updated_at":"2025-09-07T07:57:51.000Z","dependencies_parsed_at":"2025-09-07T08:40:05.936Z","dependency_job_id":null,"html_url":"https://github.com/rudra-gohil/Unstop_comp","commit_stats":null,"previous_names":["rudra-gohil/unstop_comp"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/rudra-gohil/Unstop_comp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra-gohil%2FUnstop_comp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra-gohil%2FUnstop_comp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra-gohil%2FUnstop_comp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra-gohil%2FUnstop_comp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rudra-gohil","download_url":"https://codeload.github.com/rudra-gohil/Unstop_comp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra-gohil%2FUnstop_comp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279000849,"owners_count":26082950,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adam-optimizer","group-normalization","group-theory","julia","typescript"],"created_at":"2025-10-09T06:20:02.318Z","updated_at":"2025-10-09T06:20:03.676Z","avatar_url":"https://github.com/rudra-gohil.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# InvasiveID Julia - Species Identification Platform\n\n## Overview\n\nInvasiveID Julia is a web-based species identification platform that uses AI to identify invasive plants and insects from uploaded images. The application combines a React frontend with an Express.js backend, designed to integrate with a Julia-based machine learning API for species classification. The platform focuses on conservation efforts by helping users identify invasive species across different geographic regions, with particular emphasis on Indian biodiversity.\n\n## User Preferences\n\nPreferred communication style: Simple, everyday language.\n\n## System Architecture\n\n### Frontend Architecture\n- **Framework**: React with TypeScript using Vite for development and building\n- **UI System**: Shadcn/UI components built on Radix UI primitives with Tailwind CSS styling\n- **State Management**: TanStack Query (React Query) for server state and API caching\n- **Routing**: Wouter for client-side routing (lightweight alternative to React Router)\n- **Styling**: Tailwind CSS with custom CSS variables for theming, including Indian cultural color palette (saffron, forest green, gold)\n- **Component Structure**: Modern React patterns with custom hooks for business logic separation\n\n### Backend Architecture\n- **Framework**: Express.js with TypeScript\n- **Database ORM**: Drizzle ORM with PostgreSQL dialect\n- **Session Management**: Express sessions with PostgreSQL session store (connect-pg-simple)\n- **File Upload**: Multer middleware for handling image uploads (10MB limit, image files only)\n- **API Design**: RESTful endpoints with JSON responses and comprehensive error handling\n- **Development**: Hot reloading with Vite integration in development mode\n\n### Database Schema Design\n- **Users Table**: Basic authentication with username/password\n- **Species Identifications**: Stores image URLs, AI predictions with confidence scores, region codes, and user associations\n- **Species Reports**: Community reporting system for species sightings with location and notes\n- **JSON Fields**: Predictions stored as JSON with structured data including species name, confidence, scientific name, category, impact level, and native origin\n\n### AI Integration Architecture\n- **Julia Backend**: Designed to integrate with a separate Julia-based machine learning service for species identification\n- **Mock Implementation**: Currently uses simulated responses matching the expected Julia API structure\n- **Regional Filtering**: Species predictions filtered by geographic region codes (BC_CA, US_NE, US_SE, IN_N, IN_S, IN_E, IN_W)\n- **Species Database**: Comprehensive catalog of invasive plants and insects with scientific names and impact levels\n\n### State Management Pattern\n- **Server State**: TanStack Query handles API calls, caching, and synchronization\n- **Local State**: React hooks for component-level state (file uploads, form data, UI states)\n- **Error Handling**: Centralized error boundaries with toast notifications for user feedback\n\n## External Dependencies\n\n### Core Framework Dependencies\n- **Neon Database**: PostgreSQL hosting service (@neondatabase/serverless)\n- **Drizzle**: Database ORM and migration system (drizzle-orm, drizzle-kit)\n- **TanStack Query**: Server state management and API layer (@tanstack/react-query)\n\n### UI and Styling\n- **Radix UI**: Primitive UI components for accessibility (@radix-ui/react-*)\n- **Tailwind CSS**: Utility-first CSS framework with PostCSS\n- **Shadcn/UI**: Pre-built component library using class-variance-authority\n- **Lucide React**: Icon library for consistent iconography\n\n### Development Tools\n- **Vite**: Frontend build tool with HMR and development server\n- **TypeScript**: Type safety across frontend and backend\n- **ESBuild**: Production bundling for backend code\n- **Replit Integration**: Development environment plugins for hot reloading\n\n### File Handling and Utilities\n- **Multer**: File upload middleware with memory storage\n- **Date-fns**: Date manipulation and formatting\n- **Zod**: Schema validation with drizzle-zod integration\n- **Wouter**: Lightweight routing library\n\n### Planned Integrations\n- **Julia ML Service**: External machine learning API for species identification\n- **Image Processing**: Integration with Julia-based computer vision models\n- **Geographic Services**: Region-based species filtering and mapping\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frudra-gohil%2Funstop_comp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frudra-gohil%2Funstop_comp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frudra-gohil%2Funstop_comp/lists"}