A personality-driven Rimuru Tempest AI Telegram bot with persistent identity, evolving relationships, and multilingual conversations.

One install, three MCPs: graph chat memory + semantic code search + backend. Benchmarked with claude-haiku-4-5: -19% tokens & 23× faster on memory-recall questions.

Built a hands-on Spring AI project using Spring Boot and Ollama to explore Generative AI integration in backend applications. Implemented chat completion, prompt engineering, embeddings, vector search, RAG, chat memory, multimodal AI, and structured AI responses.

AI Chat Memory System - Generative AI project in AI / ML / GenAI for CSEProjects360 final year project catalog.

Spring AI Chat Memory demo — In-Memory & JDBC (MySQL) storage with Ollama LLM, MessageChatMemoryAdvisor, and SimpleLoggerAdvisor

Open AI Integration with Spring AI

[EN] Full-stack AI chat application built with Spring AI and OpenAI on the backend and Angular on the frontend. [PT-BR] Aplicação full-stack de chat com IA construída com Spring AI e OpenAI no backend e Angular no frontend.

Build a persistent Rimuru Tempest AI Telegram bot with memory, language matching, group chat support, and smart relationship tracking