Reson-Security-Assessment-App

A full-stack web application that enables organizations to conduct structured video-based security assessments online. Users record video responses to assessment questions, and OpenAI's API automatically analyzes and scores the results. The platform includes two separate interfaces — one for end users taking the assessment, and one for clients managing and configuring it.

Project Structure

secureassess/ ├── __MACOSX/ ├── backend/ # Python backend — User app logic & API ├── Backend Reson Application-reson-backend-api # Python backend — Client app logic & API ├── frontend # React app — User-facing assessment interface ├── Frontend Reson Application # React app — Client-facing management interface └── apidb # MySQL - Database Configurations

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Tech Stack

Layer	Technology
Frontend	React.js
Backend	Python
Cloud Infrastructure	AWS Elastic Beanstalk, AWS Lambda
AI & Transcription	OpenAI API
Authentication	JWT-based login

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Application Overview

User Side (frontend-user + backend-user)

The user-facing application guides candidates through a structured video assessment:

1. Login — Users authenticate into the platform securely
2. Introduction Video — Users watch a mandatory security assessment briefing video outlining all rules and regulations before proceeding
3. Assessment — Users go through a set of questions (typically 5–10). Each question is presented as a video, and users record and upload their video response on the same page
4. Submission — Once all questions are answered, users submit their assessment
5. AI Results — OpenAI's API processes all video responses, extracts text, and generates a structured assessment result displayed to the user

Client Side (frontend-client + backend-client)

The client-facing application allows organizations to fully configure and manage assessments:

1. Question Management — Clients record and upload video questions, choosing how many questions to include (e.g. 5, 6, or 10)
2. Introduction Video — Clients record and upload the security assessment briefing video shown to users before the assessment begins
3. Rules & Regulations — Clients define and configure the terms and conditions of the assessment
4. Assessment Oversight — Full control over the structure and content of every assessment session

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Prerequisites

Make sure you have the following installed before running the project:

• Node.js v18+
• Python 3.10+
• pip
• AWS CLI (configured with appropriate credentials)
• OpenAI API Key

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Getting Started

1. Clone the Repository

git clone https://github.com/Mohiuddin-17/Reson-Security-Assessment-App.git
cd your-repo-name

2. Environment Variables

Create a .env file inside each backend folder. Required variables:

backend-user/.env

OPENAI_API_KEY=your_openai_api_key AWS_ACCESS_KEY_ID=your_aws_key AWS_SECRET_ACCESS_KEY=your_aws_secret AWS_REGION=your_region

3. Run the User Frontend

cd frontend-user
npm install
npm start

4. Run the Client Frontend

cd frontend-client
npm install
npm start

5. Run the User Backend

cd backend-user
pip install -r requirements.txt
python app.py

6. Run the Client Backend

cd backend-client
pip install -r requirements.txt
python app.py

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AWS Infrastructure

This application is deployed using:

• AWS Elastic Beanstalk — Hosts and manages the Python backend environments
• AWS Lambda — Handles serverless functions for video processing and AI result generation

Ensure your AWS credentials are correctly configured before deployment.

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License

This project was developed for a private international client. All rights reserved.