eulerbaby123

eulerbaby123 / HeiMaDianPin-AI-

Public

针对黑马点评项目的缺陷，添加大模型（AI）功能以改进相关功能。

18
0
89% credibility
Found Apr 05, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

An open-source local life services platform like Dianping, upgraded with AI for generating shop reputation summaries from reviews, personalized recommendations via natural language queries, and automated content moderation for user posts.

How It Works

1
🔍 Discover the smart local guide

You stumble upon this fun upgrade to a popular app for finding nearby shops, eats, and services with built-in AI smarts.

2
📥 Get everything ready

Download the files, set up a simple notebook for shop info and user notes, and prepare your playground.

3
🧠 Add the thinking brain

Connect a helpful AI service that understands shops and reviews to make suggestions feel personal.

4
🚀 Bring it to life

Hit start, and watch your colorful web pages and smart features light up on your screen.

5
🏪 Browse with insights

Search for places nearby and read quick AI summaries of what real visitors rave about most.

6
💡 Ask for perfect picks

Type what you want like 'light meal close by no meat' and get spot-on shop suggestions with why-they-fit reasons.

7
📝 Share safely

Write your own review, and let the smarts check it stays positive and helpful before posting.

🎉 Your community shines

Friends love using your intelligent guide to discover hidden gems and build a lively spot-sharing hub.

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Star Growth

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AI-Generated Review

What is HeiMaDianPin-AI-?

HeiMaDianPin-AI- is a Java-based full-stack local services app like Dianping, upgraded with AI to generate shop reputation summaries from user reviews, provide natural-language recommendations (e.g., "find cheap non-spicy food nearby"), and scan comments for risks like spam or privacy leaks. It retains core features like shop listings, user blogs, geo-searches, and RabbitMQ-powered seckill vouchers, serving static frontend via Nginx. Developers get a runnable demo with MySQL/Redis backend, where AI enhances discovery without breaking existing flows.

Why is it gaining traction?

The sidecar AI service isolates large models (DashScope by default) from the main Spring Boot 2.3 app, letting you swap providers or fallback to rules if calls fail—keeping things stable on JDK8. Smart caching for summaries, recommendations, and risk checks cuts latency, while preloaded test data with 30 AI-tuned shops makes demos instant. Java devs appreciate the clean HTTP client integration and dual-layer fallbacks that prevent AI outages from tanking the app.

Who should use this?

Backend Java teams building review-heavy apps like food delivery or Yelp clones, needing quick AI for summarization and moderation. Full-stack devs prototyping local services (shops, vouchers, feeds) who want AI recommendations without a full rewrite. Spring Boot users on legacy stacks experimenting with Spring AI integration.

Verdict

Solid learning project for AI in Java services—detailed README, one-click SQL init, and working demos make it easy to spin up, despite low maturity (18 stars, 0.9% credibility). Fork and extend if you're okay tweaking configs for prod; skip for mission-critical use until more adoption.

(198 words)

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