MicroItinerary — AI Travel Planner
developmentالمشكلة
Travel apps optimize for proximity and ratings. They don't consider human energy levels, group dynamics, or budget constraints intelligently.
الحل
AI-powered PWA that generates personalized annual travel itineraries with intelligent destination suggestions, cost estimation in INR, and Splitwise-style expense splitting.
نهج الذكاء الاصطناعي
GPT-4 for destination recommendations based on season, budget, and preferences. AI-generated cost breakdowns for hotels, food, transport, and activities.
التقنيات المستخدمة
React 18ViteSpring Boot 3.2.2Java 21PostgreSQL 16RedisOpenAI GPT-4
StellarMIND — Chat-to-SQL with pgvector
developmentالمشكلة
Business users need to query databases without knowing SQL. Existing tools lack context-aware query generation and safety guarantees.
الحل
Spring Boot MCP server that converts natural language questions into read-only SQL using LLM with retrieval-augmented context from pgvector.
نهج الذكاء الاصطناعي
RAG-based SQL generation: schema knowledge stored as embeddings in pgvector, retrieved as context for LLM. Strict read-only enforcement (only SELECT/WITH).
التقنيات المستخدمة
Spring BootSpring AIPostgreSQLpgvectorMCP ProtocolOpenAI
MyFinancial — Personal Financial Advisor
developmentالمشكلة
Financial planning in India is fragmented across banks, insurance, and tax documents. Most tools require sharing sensitive data with third parties.
الحل
Privacy-first PWA that consolidates financial data locally via a 6-step wizard — Profile, Income, Assets, Liabilities, Insurance, Tax — with real-time advisory metrics like Financial Runway and Savings Rate.
نهج الذكاء الاصطناعي
Rule-based advisory engine for Indian financial instruments (PPF, EPF, NPS). Old vs. New Tax regime comparison. Coverage gap analysis for insurance. No cloud dependency — all computation runs locally.
التقنيات المستخدمة
React 19Vite 7Tailwind CSS 4ZustandDexie (IndexedDB)Spring Boot 3.xJava 21PostgreSQL