Public Projects

project-f5c1fa7a

by Ismail Abdo

ريال مدريد خلال الفترة الماضية

royal-imsorry

by Ismail Abdo

بمرزينرززؤؤززؤم نىن

ocean-software

by Trash Can

I would like to replace my hr software. Can you build me he software that is feature compatible with workday?

frosty-project

by Netfotech Team AI

📘 Business Requirements Document (BRD) AI Agentic Project Management System (APMS) A Multi Agent, Emotionally Intelligent, Predictive, and Fully Integrated Project Management AI 1. Executive Summary The AI Agentic Project Management System (APMS) is an advanced, multi agent AI ecosystem designed to automate, optimize, and elevate project management across modern enterprises. It integrates seamlessly with leading project management platforms (Jira, Trello, Asana, Monday, MS Project), collaboration tools (Slack, SharePoint, Confluence), and IoT devices to deliver end to end project intelligence. APMS transforms raw project data into actionable insights, automates scheduling and resource allocation, predicts risks, balances workloads, and enhances team morale through emotionally intelligent interventions. It also includes Agile driven multi agent collaboration for software development, enabling autonomous sprint planning, code dependency mapping, and smart task assignment. This system reduces manual overhead, prevents burnout, accelerates delivery, and strengthens organizational decision making. 2. Business Objectives Primary Goals • Automate project planning, scheduling, and resource allocation. • Reduce project delays through predictive analytics and early risk detection. • Improve team productivity and morale using emotionally intelligent AI. • Enhance collaboration across tools and departments. • Enable autonomous Agile software development through multi agent coordination. • Provide real time insights, alerts, and recommendations to project managers. • Minimize manual updates and administrative overhead. Strategic Impact • Faster project delivery • Higher team satisfaction • Reduced operational costs • Improved accuracy in planning and forecasting • Stronger alignment between business goals and execution 3. Scope • AI driven project scheduling, resource allocation, and risk management • Multi agent Agile system (Product Manager, Developer, Tester agents) • Integration with Jira, Trello, Asana, Monday, MS Project • Integration with Confluence, SharePoint, Slack • Predictive analytics for workload balancing and delay prediction • Emotionally intelligent team morale assessment • IoT based project monitoring • Automated reporting, approvals, and progress tracking • Code dependency graph generation and smart code modification suggestion 4. Functional Requirements 4.1 AI Project Manager Agent • Automates project scheduling based on priorities, dependencies, and team availability • Allocates resources dynamically • Generates risk assessments and mitigation plans • Converts raw data into actionable insights • Sends alerts for delays, bottlenecks, and pending tasks • Automates approvals and reporting workflows 4.2 Multi Agent Agile System - Agents & Responsibilities Product Manager Agent • Converts user inputs into epics, stories, and acceptance criteria • Prioritizes backlog using business value scoring • Plans sprints and defines release timelines Developer Agent • Generates code suggestions • Creates and updates code dependency graphs • Suggests modifications based on new requirements • Collaborates with Tester agent for quality assurance Tester Agent • Generates test cases automatically • Executes automated tests where possible • Flags defects and suggests fixes Collaboration Features • Agents communicate autonomously • Sprint planning and retrospectives automated • Smart task assignment based on skill, workload, and past performance 4.3 Predictive Analytics Engine • Predicts project delays using historical and real time data • Balances workloads to prevent burnout • Forecasts resource shortages • Recommends optimal sprint lengths and team compositions • Detects inefficiencies and suggests process improvements 4.4 Emotionally Intelligent AI • Monitors team morale through sentiment analysis (Slack, emails, stand ups) • Detects stress, burnout signals, and communication breakdowns • Suggests interventions (breaks, workload redistribution, recognition prompts) • Provides morale dashboards for managers 4.5 Hyper Personalization Engine • Tailors Agile workflows to individual strengths • Recommends tasks based on skill, preference, and performance patterns • Adjusts sprint velocity predictions per team member • Creates personalized learning and improvement suggestions 4.6 IoT Integration Layer [PHASE 2] • Connects with IoT devices for real time project monitoring • Tracks environmental conditions (manufacturing, construction, hardware labs) • Alerts managers about anomalies affecting project timelines • Enables automated logging of physical progress 4.7 AI Driven Innovation Engine • Scans market trends, competitor movements, and emerging technologies • Suggests new features, improvements, and innovation opportunities • Helps leadership stay ahead of industry shifts 4.8 Integrations Project Management Tools • Jira [Phase 1] • Trello • Asana [Phase 1] • Monday • Microsoft Project [Phase 1] Collaboration Tools • Slack • Microsoft Teams [Phase 1] • Confluence [Phase 1] Development Tools • GitHub • GitLab • Bitbucket 5. Non Functional Requirements 5.1 Performance • Real time insights with • Scalable to 10,000+ concurrent users 5.2 Security • Role based access control • Data encryption (in transit & at rest) • Compliance with GDPR, SOC2, ISO 27001 5.3 Reliability • 99.9% uptime • Automated failover and redundancy 5.4 Usability • Intuitive dashboards • Natural language interface • Multi device accessibility 6. User Stories Project Manager • “As a PM, I want automated scheduling so I can reduce manual planning time.” • “As a PM, I want risk predictions so I can prevent delays.” Developer • “As a developer, I want AI generated code suggestions to speed up development.” Tester • “As a tester, I want automated test case generation to improve coverage.” Leadership • “As a CEO, I want predictive insights to make informed decisions.” 7. Future Enhancements • Autonomous project execution • Voice driven project management • Cross company multi agent collaboration • Digital twin simulations for project forecasting Workflow diagrams 1.1 High-level end-to-end workflow Actors: • User / Project Manager • AI Project Manager Agent • Product Manager Agent • Developer Agent • Tester Agent • Predictive Analytics Engine • Emotion AI Engine • Integrations Layer (Jira, Trello, Asana, Monday, MS Project, Confluence, SharePoint, Slack, IoT, Git, etc.) Diagram (logical flow – text description) • User / PM initiates interaction o Input: Natural language (chat/voice) or via PM tools (Jira, Trello, etc.). o Examples: “Create a project plan”, “Plan next sprint”, “Show risks for Release 2”. • AI Project Manager Agent interprets request o Parses intent, scope, constraints, deadlines. o Queries Integrations Layer for current project data (tasks, epics, resources, statuses). • Data aggregation & context building o Pulls from:  Jira/Trello/Asana/Monday/MS Project (tasks, timelines, dependencies).  Confluence/SharePoint (requirements, docs).  Slack/Teams (communication patterns).  Git/GitLab/Bitbucket (code activity).  IoT feeds (where relevant). • Delegation to specialized agents o Product Manager Agent: backlog refinement, epic/story creation, prioritization. o Developer Agent: code dependency graph, implementation suggestions, impact analysis. o Tester Agent: test case generation, coverage planning, defect risk estimation. • Predictive Analytics Engine runs o Predicts:  Delays  Bottlenecks  Resource overload  Sprint success probability • Emotion AI Engine evaluates team morale o Analyzes:  Slack/Teams sentiment  Meeting notes  Velocity trends vs. communication tone. o Flags:  Burnout risk  Frustration  Communication breakdowns. o Suggests:  Workload redistribution  Recognition prompts  Process tweaks. • Hyper-personalization layer adjusts plan o Tailors:  Task assignments to strengths/preferences.  Sprint load per individual.  Learning recommendations. • User / PM review & approval  Approves, edits, or rejects suggestions.  Human-in-the-loop for critical changes. • Execution & continuous monitoring  Agents continuously:  Track progress  Update tools (Jira, etc.)  Recalculate risks  Alert on deviations  Adjust assignments. 1.2 Sprint planning & execution workflow (multi-agent) Flow 1. PM/User: “Plan next sprint for Project X with focus on Feature Y.” 2. AI PM Agent: o Fetches backlog, priorities, team capacity. 3. Product Manager Agent: o Selects stories for sprint. o Breaks down tasks if needed. 4. Developer Agent: o Builds/updates code dependency graph. o Estimates complexity. o Suggests implementation order. 5. Tester Agent: o Generates test cases for selected stories. o Plans test execution. 6. Predictive Analytics Engine: o Validates sprint feasibility. o Predicts risk of spillover. 7. Emotion AI Engine: o Checks current team load & morale. o Suggests adjustments if burnout risk is high. Updates Jira/Trello/etc. 8. AI PM Agent: o Finalizes sprint plan. o Updates Jira/Trello/etc. 9. During sprint: o Agents monitor:  Task progress  Code changes  Test results  Communication signals. o Trigger:  Alerts  Reassignments  Risk updates. 10. End of sprint: o Auto-generated:  Sprint report  Retrospective insights  Improvement suggestions.

hardy-dashboard

by Hiren Gandhi

Dashboard Overview of total jobs (Active, Completed, Pending) Daily/Monthly revenue summary Pending payments & overdue invoices Recent activities timeline 2. Customer Management Add/Edit/Delete customer Fields: Customer Name Contact Number Email Company Name Address View complete job history per customer 3. Job Management (Main Module) Each job should include: Date Customer Name (linked to customer module) Job Description Quantity / Specifications Status Tracker: Quotation Order Confirmed Printing Binding Delivery Priority (Normal / Urgent) Notes / Attachments (design files, PDFs) 4. Quotation Management Create & send quotation Auto-generate quotation number Fields: Job details Price breakdown Taxes Total amount Option to convert quotation → order 5. Order Management Convert quotation into confirmed order Track order status Assign production stage 6. Production Tracking Track job stages: Printing Binding Ready for Delivery Assign responsible staff Status updates with timestamps 7. Delivery Management Delivery Date Delivery Status (Pending / Delivered) Delivery notes Option to upload proof (signature/image) 8. Invoice Management Generate invoice automatically from order Unique invoice number GST calculation (if applicable) Download as PDF 9. Payment Tracking Payment Status (Paid / Partial / Pending) Payment Method (Cash / UPI / Bank / Cheque) Payment Date Outstanding balance tracking 🔸 Additional Features 🔍 Search & Filter (by customer, date, status) 📊 Reports: Sales report Pending jobs Payment report 🔔 Notifications: Pending delivery alerts Payment reminders 📁 File Upload (designs, proofs) 👥 Multi-user roles (Admin / Staff) 🔸 Technical Requirements Web-based responsive application Backend: Node.js / Django / Laravel (any scalable framework) Database: MySQL / PostgreSQL Authentication: Secure login system API-ready architecture Cloud storage integration (optional) 🔸 UI/UX Guidelines Clean and minimal interface Color-coded job statuses Easy navigation with sidebar Mobile-friendly dashboard 🔸 Goal Build a CRM that: Simplifies job tracking Reduces manual errors Improves customer handling Gives complete visibility from quotation to payment

sunny-dashboard

by Monish Raj

Create a complete AI-powered food ordering platform including a website, user dashboard, and admin dashboard. System Requirements: 1. Website (Public Platform) - Landing page with hero section and search - AI-powered food recommendation section - Restaurant listing - Menu browsing - About and contact pages 2. User Dashboard (Customer Side) - Login and signup - Personalized home screen - AI-based food recommendations - Restaurant and menu browsing - Cart and checkout - Order tracking (real-time status) - Order history - Profile and settings 3. Admin Dashboard - Admin login - Restaurant management - Menu management - Order management - User management - Analytics dashboard (orders, revenue, user activity) Reference Websites: Use the following references for inspiration: - Swiggy / Zomato → for food ordering flow and structure - Uber Eats → for UI layout and interaction patterns - Notion / Linear → for clean dashboard UI and spacing Instructions: - Do not copy designs directly - Adapt layout, components, and UX patterns - Maintain consistency across website, user dashboard, and admin dashboard Design Requirements: - Modern 2026 UI design - Mobile-first approach - Clean and structured dashboard layouts - Card-based UI system - Clear navigation and hierarchy System Output: - Generate user flow - Generate UI screens - Generate system architecture - Generate database structure - Generate task breakdown Important: Clearly separate and organize outputs into: - Website - User Dashboard - Admin Dashboard Ensure the product feels like a real-world application with proper UX flow and usability.

copper-website

by Shashwat

build an automated website for dropshipping

marine-portrait

by UY SCUTI

raw neo-expressionist scribble portrait, chaotic overlapping ink lines, aggressive scratch pen strokes, messy gesture drawing anatomy, urban street art mood, cross-hatching shadows, rough unfinished sketch texture, distorted fashion illustration style, grunge paper background, intense eyes focus, keep same pose and face structure

turbo-gallery

by Pritesh Singh

need to create one photo gallery website like pintrest having landing page and 4 section start with ui design first

brave-website

by Monish Raj

Create a modern responsive website for an AI-powered food ordering platform. Follow this style guide strictly: Design Style: - Clean, minimal, modern UI (2026 trend) - Card-based layout - Soft shadows and rounded corners - High-quality spacing and alignment Color System: - Primary: Deep Orange (#FF6B35) - Secondary: Dark Gray (#1F2937) - Background: Light Gray / White - Accent: Soft Green for success states Typography: - Modern sans-serif font - Clear hierarchy (Heading, Subheading, Body) - Good readability and spacing Components: - Navigation bar with clear CTA - Hero section with strong headline and search - Restaurant listing cards - Food item cards - CTA buttons (Order Now, Explore, etc.) Pages Required: - Landing page - Restaurant listing page - Food menu page - About section - Contact section Requirements: - Mobile-first responsive design - Consistent spacing, typography, and color usage - High-quality UI output (avoid placeholders) - Focus on visual clarity and usability

eagle-waterproofing

by Ashish Shah

Waterproofing

fierce-website

by vinit shah

Make a website for me related to pharmacy