Update README to reflect completion of the prediction step and add new logo image.

@@ -710,14 +710,13 @@ We welcome all forms of contributions!
 
 ## 🦖 Next Development Plan
 
-The system has currently completed only the first two steps of the "three-step approach": requirement input -> detailed analysis. The missing step is prediction, and directly handing this over to LLM lacks persuasiveness.
+The system has now completed the final prediction step! Visit 【MiroFish - Predict Everything】: https://github.com/666ghj/MiroFish
 
 <div align="center">
+<img src="static/image/MiroFish_logo_compressed.jpeg" alt="banner" width="800">
 <img src="static/image/banner_compressed.png" alt="banner" width="800">
 </div>
 
-Currently, after a long period of crawling and collection, we have accumulated massive data on topic popularity trends over time, trending events, and other change patterns across the entire network. We now have the conditions to develop prediction models. Our team will apply our technical reserves in time series models, graph neural networks, multimodal fusion, and other prediction model technologies to achieve truly data-driven public opinion prediction functionality.
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 ## ⚠️ Disclaimer
 
 **Important Notice: This project is for educational, academic research, and learning purposes only**

@@ -715,14 +715,13 @@ class DeepSearchAgent:
 
 ## 🦖 下一步开发计划
 
-现在系统只完成了"三板斧"中的前两步，即：输入要求->详细分析，还缺少一步预测，直接将他继续交给LLM是不具有说服力的。
+现在系统完成了最后一步预测！访问查看【MiroFish-预测万物】：https://github.com/666ghj/MiroFish
 
 <div align="center">
+<img src="static/image/MiroFish_logo_compressed.jpeg" alt="banner" width="800">
 <img src="static/image/banner_compressed.png" alt="banner" width="800">
 </div>
 
-目前我们经过很长一段时间的爬取收集，拥有了大量全网话题热度随时间、爆点等的变化趋势热度数据，已经具备了可以开发预测模型的条件。我们团队将运用时序模型、图神经网络、多模态融合等预测模型技术储备于此，实现真正基于数据驱动的舆情预测功能。
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 ## ⚠️ 免责声明
 
 **重要提醒：本项目仅供学习、学术研究和教育目的使用**