Major Project
Web Development
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Web Development · Major Project
E-Commerce Price Comparison with Sentiment
Compares store prices via product APIs and summarises review mood
3-4 weeks build
Overview
Search for a product and see its price across stores side by side. Prices come from official affiliate and product APIs or merchant-supplied feeds rather than scraping, and are matched across stores by identifier and title similarity. Reviews are scored for sentiment so each listing shows value and satisfaction together, and price alerts watch for drops.
What makes it stand up
- 01Pluggable store adapters for product APIs and CSV or JSON feeds
- 02Cross-store product matching by identifier and fuzzy title
- 03Price history charts with scheduled refresh
- 04Review sentiment summary with pros and cons keywords
- 05Email price-drop alerts on watched products
Module breakdown
- 01
Store adapters
One interface over each API or feed with rate limiting.
- 02
Product matching
Identifier lookup with title-similarity fallback.
- 03
Price tracker
Scheduled refresh jobs storing history in MongoDB.
- 04
Sentiment
FastAPI service scoring and summarising reviews.
- 05
Frontend
React search, comparison table, charts and watchlist.
After this, you will be able to
- Explain why the kit uses APIs and feeds instead of scraping
- Defend your product-matching strategy and its failure cases
- Demo a search, comparison and a triggered price alert
Technology stack
- React
- Node.js
- MongoDB
- Python
- FastAPI
- Level
- Major Project
- Domain
- Web Development
- Build time
- 3-4 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support