CV Builder AI Chatbot

CV Builder AI Chatbot (mytender.io) is an advanced, AI-powered platform designed to streamline the creation of professional CVs, proposals, and tender documents. It leverages state-of-the-art AI to assist users in generating, refining, and managing content, making the bid and proposal process faster, smarter, and more collaborative.

Mission

Empower organizations and individuals to win more business by automating and enhancing the proposal and CV creation process with cutting-edge AI, intuitive workflows, and seamless integrations.

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🛠️ Tech Stack & Architecture

Frontend

• Framework: React (TypeScript)
• UI Libraries: MUI (Material UI), Bootstrap, Fluent UI, FontAwesome
• State & Routing: React Router, React Context, Local Storage
• Testing: Vitest, Jest, Testing Library
• Build Tools: Vite, Webpack

Backend

• Framework: Django 5 (Python 3.10+)
• Async/Websockets: Daphne, Channels
• Storage & File Handling: django-storages, boto3 (AWS S3), Whitenoise
• Email & Notifications: django-ses, sib-api-v3-sdk (Sendinblue)
• PDF/Doc Generation: reportlab, xhtml2pdf, docx, mammoth
• Payments: Stripe

Office Add-in (Wordpane)

• Framework: React (TypeScript)
• Office Integration: Office.js, Office-Addin-TaskPane-React
• UI Libraries: Fluent UI, MUI, Bootstrap

DevOps & Tooling

• Containerization: Docker, Docker Compose
• Dependency Management: Poetry (Python), npm/yarn (Node)
• Linting & Formatting: ESLint, Prettier, Flake8, Pre-commit
• CI/CD: Makefile, Husky, Pre-commit hooks

Analytics & Monitoring

• User Analytics: PostHog, Google Analytics (react-ga4)

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🌐 Third-Party Services

• AWS S3: Document storage
• Sendinblue: Transactional email
• Stripe: Payment processing
• PostHog: Product analytics
• Google Analytics: User tracking

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🧩 Key Features

• AI-Powered Q&A and Proposal Generation: Instantly generate, refine, and edit answers and proposal sections using advanced AI.
• Bid Pilot Copilot: Contextual AI assistant for refining answers, searching the internet, or querying your document library.
• Content Library: Securely upload, organize, and search company documents to power AI responses.
• Interactive Wizards: Step-by-step onboarding and guidance for new users.
• Bid Management: Track, create, and manage bids with Kanban and table views.
• Office Add-in: Seamless integration with Microsoft Word for in-app AI assistance.
• User Roles & Collaboration: Assign contributors, manage permissions, and collaborate in real-time.
• Secure & Compliant: Data security best practices, role-based access, and audit trails.

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🏗️ Workflow & User Journey

1. Sign Up / Login: Secure authentication and onboarding wizard.
2. Dashboard: Central hub to access proposal writing, chat, bid/no-bid calculator, and company library.
3. Content Library: Upload and organize documents to build your knowledge base.
4. Ask Questions: Use the AI chatbot to query your library or the internet for instant answers.
5. Proposal Planning: Use the Proposal Planner to structure, generate, and refine proposal sections with AI.
6. Bid Management: Create, track, and manage bids through their lifecycle.
7. Office Add-in: Use the Wordpane Copilot for in-document AI assistance.
8. Export & Submit: Generate polished documents for submission.

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⚙️ Configuration & Deployment

Prerequisites

• Node.js (v16+), npm or yarn
• Python 3.10+
• Docker & Docker Compose (for production/development containers)
• AWS credentials (for S3), Sendinblue API key, Stripe API key

Environment Variables

• Configure environment variables for Django, React, and Office Add-in as needed (see .env.example or relevant config files).

Local Development

Frontend

cd src
npm install
npm run dev

Backend

cd website
poetry install
poetry run python manage.py migrate
poetry run python manage.py runserver

Office Add-in

cd wordpane
npm install
npm run start

All-in-One (Docker)

cd website
docker-compose up --build

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🚦 Running Guide

1. Clone the repository
2. Install dependencies for each component (src, website, wordpane)
3. Configure environment variables for API keys and secrets
4. Run backend and frontend (see above)
5. Access the app at http://localhost:8000 (backend) and http://localhost:5173 (frontend, default Vite port)
6. For Office Add-in: Sideload the manifest in Word or use npm run start in wordpane
7. Use the onboarding wizard for a guided tour

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🚢 Production Deployment

• Use Docker Compose for orchestrated deployment.
• Configure production environment variables and secrets.
• Use docker-compose -f docker-compose.yml up --build in the website directory.
• Set up a reverse proxy (e.g., Nginx) and SSL as needed.

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