Projects
BestNotBest
Product AI Comparison | Sentiment Analysis | LLM Summarization | Web Scraping Automation
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BestNotBest is a real-time AI-powered product explorer enabling users to find the best and worst products by comparing reviews, ratings, and sentiment-based insights. The system scrapes live product listings and customer opinions, processes the data through LLM-based evaluation, and generates comparison insights with scoring to highlight advantages and drawbacks. It serves as a decision-support tool for consumers seeking reliable purchase recommendations.
Challenge
Role
AI & Backend Developer responsible for scraping automation, sentiment-based AI summary generation, comparison scoring logic, backend API processing, and supporting the UI display format.
Project Goals
- Provide Real-Time Product Intelligence – Scrape live Amazon product listings and analyze opinions instantly.
- Enable AI-Supported Purchase Decisions – Use LLMs to highlight pros, cons, and risk factors in human-friendly language.
- Implement Score-Based Comparison – Assign AI-calculated scoring for trust and desirability.
- Deploy Lightweight, Fast Frontend – Deliver results with minimal delay while maintaining UI simplicity.
Development Process
Data Collection | Data Pre-processing | LLM Fine-tuning
Scraping & Data Acquisition Pipeline – Live product data collected through Apify scrapers.AI Sentiment Summary & Comparison Logic – Prompt-based models built for summarizing and ranking.
Backend API Integration & Testing – Node.js layer validating workflows and response time.Frontend UI Implementation & Deployment – Next.js UI published on Vercel for responsive delivery.
Stack Used:
Final Outcome
The system features a Real‑Time Review Scraper that automatically extracts product listings and reviewer sentiments, feeding into an AI Summary Engine that transforms raw data into structured product summaries. A Comparison Score System generates rankings and sentiment confidence levels, while a Frontend Explorer Interface presents insights in an intuitive format. A robust Backend API Layer manages processing, scoring, and fast response delivery to the frontend.