Fullstack AI Engineer | React.js | Next.js | React-native | Ionic | Node.js | Express.js | Fastify | Micro-services

github

Jeevan Jyoti Dash  • Peerlist

<h3>AI-Powered YouTube Audience Intelligence</h3>
Viewer Lens is an advanced AI-assisted tool designed to transform YouTube comments into actionable audience insights. It helps creators, content managers, and agencies understand viewer sentiment, identify recurring themes, extract key questions, and pinpoint notable comments. This allows for more informed decision-making regarding content strategy, audience engagement, and future video planning.
<ul>
<li>YouTube Comment Analysis: Deeply analyze comments to understand audience mood, from excitement to frustration.</li>
<li>Audience Intelligence Brief: Generate a concise report summarizing viewer sentiment, recurring themes, and key questions.</li>
<li>AI Sentiment Analysis: Automatically detect the emotional tone of your audience within the comment section.</li>
<li>Top Discussion Topic Detection: Identify the most frequently discussed subjects and recurring ideas.</li>
<li>Audience Question Extraction: Surface the specific questions viewers are asking, with suggested answers.</li>
<li>Signal vs. Noise Separation: Differentiate valuable feedback and intent from generic comments, memes, or hype.</li>
<li>Notable Comment Highlights: Keep track of insightful or representative viewer comments for reference.</li>
<li>Creator Next Steps: Receive suggestions for replies, follow-up content, or strategic adjustments based on audience feedback.</li>
<li>Team and Agency Reporting: Features tailored for teams and agencies to create clear, shareable audience reports.</li>
<li>Reanalysis Capabilities: Analyze comments by custom limits and date ranges to track audience changes over time.</li>
</ul>
The workflow is designed for simplicity: paste a YouTube URL, receive an audience brief, separate signal from noise, and decide on your next steps. Viewer Lens supports creator judgment rather than replacing it, providing evidence and options to enhance content and audience connection.

YouTube Audience Intelligence for Creators

Built an immersive music app using Ionic JS frontend and Node.js Express microservices with PostgreSQL for data management, delivering an engaging user experience.

BeatBuzz

This is a Full stack Firebase Progressive Web Application using React.js and Redux. User can login using his/her Gmail or Facebook or GitHub account and write his/her blog. User can give his/her rating to individual blog and also filter the blog posts according to different category and ratings .User can also read his/her favorite blogs in offline mode.

Blog Spot

This is a Simple Corona Virus Tracking  Dashboard by using External API to show the Corona Virus Cases according to different countries and worldwide.

Corona Virus Tracking Dashboard

Doctor Booking Appointment web application based on MicroFrontend architecture.

CureFit(on Development)

CRUD operation on ToDo Board.
ToDo board can be filtered by range date.
On an individual to-do board, the user can perform CRUD operations as well.

DailyTODO

Build a React component based npm package module using React styled components with Storybook integration and publish it using Github npm packages registry.

Funky-CSS

A coin exchange doctor appointment booking mobile application.

HealthChain

- Developed a news articles provider that allows users to get top headlines according to different country. - Worked on filter option and pagination while fetching top headlines news by different category.
- Implemented search bar to fetch different news articles by requested query.
- Technologies:- Next.js, NewsApi.org API.

News-Provider

Hunt your favorite track by searching it by name or by artist's name. 
GitHub: https://github.com/JeevantheDev/Song-Hunter 

Song-Hunter

Modular Design Pattern project based on fetching jokes, like
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