SecureDrop.AI

Your Voice, Heard Anonymously Real-time, AI-powered anonymous complaint and feedback platform for organizations.

🌟 Overview SecureDrop.AI is a modern web application that empowers users to submit complaints or feedback to organizations anonymously and securely. With advanced AI-driven categorization and analytics, organizations can understand, prioritize, and act on feedback efficiently—while users remain protected and untraceable.

Live Demo:-https://securedropai.vercel.app/

🚀 Key Features Anonymous Complaint Submission: Users can submit complaints or feedback without revealing their identity. AI-Powered Categorization: Complaints are automatically categorized and analyzed for severity, urgency, sentiment, and risk using advanced AI models. Organization-Based Routing: Users select their organization, ensuring feedback reaches the right team. Media Support: Attach images or videos to complaints, securely uploaded to cloud storage. Complaint Tracking: Users can track the status and responses to their submissions using a unique complaint ID. Admin Dashboard: Secure admin portal for managing, viewing, and analyzing complaints. Real-Time Analytics: Visual dashboards with charts (severity, category breakdown, timelines, etc.) for actionable insights. Automated Suggestions: AI provides suggested actions, reply templates, and escalation recommendations for admins. Email Notifications: Secure password reset and admin notifications via email. Role-Based Access: Distinct flows for users and admins, protecting sensitive operations.

🛠 Tech Stack #Frontend

React (TypeScript) React Router DOM Chart.js (via react-chartjs-2) Tailwind CSS Axios Heroicons

#Backend

Node.js Express.js MongoDB (Mongoose) JWT (Authentication) Multer & Cloudinary (Media uploads) Nodemailer (Email services) AI Integrations: OpenAI, Google Generative AI, custom AI modules

#Other

Socket.io (real-time features) dotenv (environment config) Bcrypt.js (password hashing)

🗂 Project Structure secure-drop/ ├── client/ # React frontend │ └── src/ │ ├── pages/ # Landing, Organization Select, Complaint, Track, Admin (Analytics, Dashboard, etc.) │ └── components/ # Shared components (Logo, UI elements) └── server/ # Node.js backend ├── controllers/ # Business logic (complaints, admin, org) ├── models/ # Mongoose schemas (Complaint, Admin, Organization) ├── routes/ # API endpoints ├── utils/ # AI analysis, categorization, email, cloud uploads └── uploads/ # Media storage (if not using cloud)

📊 Example Analytics (Admin)

Complaint Volume Over Time Category Distribution Severity/Urgency Heatmaps AI Risk Scores Suggested Actions & Escalation Flags

⚡️ Quick Start

Prerequisites

Node.js (v18+ recommended) MongoDB instance (local or Atlas) Cloudinary account (for media uploads) OpenAI/Google AI API keys (for AI features)

Setup

Clone the repo: bash

git clone https://github.com/darkflayer/SecureDrop.AI.git cd SecureDrop.AI Configure Environment Variables: Copy .env.example to .env in both server/ and client/ and fill in required values (MongoDB URI, JWT secret, Cloudinary, email, AI keys, etc). Install Dependencies: bash

cd server npm install cd ../client npm install Run the App: Backend:

cd server && npm run dev

Frontend: cd client && npm start

Access the App: User Portal: http://localhost:3000 Admin Portal: http://localhost:3000/admin/login

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🤝 Contributing

We welcome contributions of all kinds! Please read our CONTRIBUTING.md for guidelines on how to set up the project, code standards, and how to submit issues or pull requests.

If you're new, look for issues labeled good first issue or help wanted.

🌐 Community & Conduct

We are committed to fostering a welcoming and respectful community. Please read our Code of Conduct before participating.

📬 Contact

For questions or support, open an issue or email: rautanhemu@gmail.com

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🔒 Security & Privacy All complaints are stored without user-identifying information. JWT-based authentication for admin routes. Passwords are hashed with bcrypt. Media files are uploaded securely to Cloudinary.

AI analysis is performed server-side; no user data is shared externally except for AI analysis.

🤖 AI & Automation Categorizer: Classifies complaints into topics using both rule-based and AI-powered logic.

AI Analyzer: Assesses sentiment, urgency, severity, and risk; suggests admin actions. Similar Complaints: Finds related complaints to aid in pattern recognition and faster resolution.

👤 Roles User: Submit, track, and follow up on complaints anonymously. Admin: View/manage complaints, analyze trends, respond, and reset passwords.

📝 License ----working on

💡 Inspiration

SecureDrop.AI is inspired by the need for safe, anonymous feedback in organizations—empowering voices, surfacing issues, and enabling data-driven action.

🙌 Contributing

Pull requests and suggestions are welcome! For major changes, please open an issue first to discuss what you would like to change.

📬 Contact

For questions, support, or demo requests: rautanhemu@gmail.com