lisha.choudhary@portfolio:~$ project-detail

Web Survey System

Bringing data collection to life through full-stack innovation. Developed a real-time survey application with React, Node.js, and MongoDB — integrating RESTful APIs, asynchronous data flow, and modular design for fast, reliable user feedback.

Tech Stacks:

React

Node.js

MongoDB

📝 Survey Project – Software Engineering

Survey Project – Software Engineering is a web-based application built to streamline survey collection, management, and analytics. Developed using PHP, JavaScript, and CSS, this project offers user authentication, multi-platform login support, dynamic dashboards, and configurable survey workflows.

🚀 Overview

The project provides a full-stack solution for organizations to design surveys, gather responses (including via social login options: Google, Facebook, Twitter), and visualize results in real time. It emphasizes usability, reliability, and flexible configuration for survey administrators and participants alike.

🧩 Key Features

  • User Authentication & Social Login — Support for standard login and OAuth-based Google, Facebook, and Twitter sign-in.

  • Survey Creation & Management — Admin side panel to design, edit, publish, and monitor surveys.

  • Dynamic Response Capture — Real-time collection of responses with automatic update of analytics.

  • Dashboard & Analytics — Visual overview of survey progress, respondent metrics, and key insights.

  • Responsive Frontend — Using CSS and JavaScript to ensure usability across devices.

  • Configurable Workflows — Admins can define survey conditions, branching logic, and respondent routing.


⚙️ Tech Stack


Layer

Tools / Technologies

Backend

PHP

Frontend

JavaScript, CSS

Authentication

OAuth integration (Google, Facebook, Twitter)

Survey Engine

Custom logic for branching and response tracking

Environment

Web server platform (Apache/Nginx)

Version Control

Git / GitHub


📊 Project Workflow

Requirement Gathering – Defined key user roles (admin, respondent), login methods, and survey lifecycle.

  1. Architecture & Design – Structured backend routes, database schema, and frontend UI components.

  2. Implementation – Built authentication, survey engine, response capture, and dashboards.

  3. Testing & QA – Validated login flows, branching logic, response accuracy, and UI responsiveness.

  4. Deployment – Set up for web hosting; configured login integrations and survey administrator tools.


Streaming Platform Analytics

This project analyzes streaming platform content data to uncover trends, content gaps, and actionable insights that support data-driven business decisions. Using SQL, Python, and Tableau, the analysis focuses on content distribution, release trends, genre demand, and ratings breakdown to inform content strategy and acquisition planning.

Tech Stacks:

Python

© Lisha Choudhary | 2025

v20.07.2025

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