🐥 SocialFly

SocialFly is a project designed and developed for ShellHacks 2022, a hackathon with 690 participants, that provides insightful breakdowns and displays of Twitter data based on user search queries.

Overview

SocialFly utilizes a combination of frontend technologies and machine learning to analyze and present Twitter data in a user-friendly manner. The frontend application, built with Next.JS, Tailwind, and Chart.JS, displays the analyzed Twitter data, while the backend leverages a TensorFlow NLP neural network for sentiment analysis on Twitter tweets, achieving a validation accuracy of 93%.

Technologies Used

• Next.JS: For building the user interface and handling frontend logic.
• Tailwind: Utilized for crafting a sleek and responsive UI.
• Chart.JS: Employed to visualize Twitter data in an engaging manner.
• TensorFlow: Used to create and train the NLP neural network for sentiment analysis.

Features

• Dynamic Data Visualization: Engage with interactive charts and graphs that break down Twitter data based on search queries.
• Sentiment Analysis: Leverage a TensorFlow NLP neural network to perform sentiment analysis on Twitter tweets.
• User-Friendly Interface: Navigate through a sleek UI built with Tailwind to explore and interact with Twitter data insights.

Achievements

• 🚀 Designed and built for ShellHacks 2022 with 690 participants.
• 🧠 Created a TensorFlow NLP neural network with a 93% validation accuracy for sentiment analysis.