Kinesh Lohar

From Concept to Code: My Project Journey

A collection of projects that reflect my dedication to both craft and creativity.

AI pdf chatbot RAG

projects/thumbnails/esnhwlwzfvmpvfw8ysul

This project is an AI-powered PDF chatbot that allows users to upload PDFs and ask questions based on the document's content. It uses LlamaParse to extract text, splits the content into chunks, and generates vector embeddings using OpenAI’s API. These embeddings are stored in a Weaviate vector database for efficient retrieval. A Retrieval-Augmented Generation (RAG) pipeline ensures the chatbot provides accurate, context-aware answers. The tech stack includes React, Node.js, Tailwind CSS, and Shadcn UI.

React
Node Js
Express Js
RESTFUL API's

AI-Powered Interview Analysis System

projects/thumbnails/y8bas36haoj3mhou2bfq

A full-stack recruitment platform that automates candidate interview analysis using AI/ML. The system evaluates facial expressions, speech emotions, and spoken responses in real-time to generate performance insights. It helps recruiters make unbiased, data-driven hiring decisions with detailed AI-generated reports.

React
Node Js
Express Js
Git
MongoDB
Tailwind CSS
Mongoose
Python
RESTFUL API's

Personal Portfolio using Nextjs

projects/thumbnails/iacrnpwcj6mpzqqm6ke4

Created a full stack dynamic personal portfolio with MongoDB and mongoose. It also consist of authenticated admin dashboard to handle various data through the portfolio. Utilized SSR and lazy loading for performance optimization.

React
NextJs
Node Js
Express Js
Git
MongoDB
Tailwind CSS
Mongoose
RESTFUL API's
Kinesh Lohar
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