nsight - AI-Powered Scientific Research Platform

Excited to Share: Insight - AI-Powered Scientific Research Platform

I'm thrilled to announce the completion of Insight, a comprehensive full-stack platform designed to revolutionize how researchers discover, analyze, and interact with scientific literature!

Project Overview

Insight is a sophisticated research management system that combines modern web technologies with artificial intelligence to deliver a seamless academic research experience. The platform enables researchers to explore scientific papers, track reading history, and receive personalized AI-powered recommendations.

Key Features

Secure Authentication & User Management

JWT-based authentication with bcrypt password hashing

Role-based access control for researchers and admins

Comprehensive Paper Management

Advanced search with pagination and field-based filtering

Detailed paper profiles with abstracts, keywords, and metadata

Download tracking and review system

AI-Powered Intelligence

Smart Recommender System: Personalized suggestions using content-based filtering (TF-IDF), behavior-based filtering, and hybrid algorithms

RAG Chatbot Assistant: AI-powered Q&A for uploaded research documents

Analytics Dashboard: User engagement, download metrics, and research trend visualization

Technology Stack

Frontend: React 19, TypeScript, TailwindCSS 4, Radix UI, Framer Motion, Recharts

Backend: Node.js, Express.js, RESTful API, JWT authentication

Database: Microsoft SQL Server with normalized relational schema

AI & ML: Python, scikit-learn, pandas, numpy, custom hybrid recommender algorithm, RAG chatbot

DevOps: Vite, environment-based configuration, production-ready deployment

System Architecture

3-Tier Architecture: React frontend, Express backend, SQL Server database

Microservices Integration: Python AI services communicate with Node.js backend

Scalable Design: Modular codebase with separation of concerns

Academic Impact

Insight streamlines research discovery by reducing search time, providing intelligent recommendations based on research interests, enabling AI-powered knowledge extraction, and facilitating academic collaboration.