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Snake-Konginchrist/README.md

Hi, I'm Snake Konginchrist

  • Independent developer building products from Shanghai, China
  • Founder of SK Studio with my co-founder @celynnmoonlight
  • Also a brony, always happy to connect with others in the herd

Currently Building

Tech Stack

  • Mobile: Swift, Kotlin, ArkTS
  • Web / Backend: React, Node.js, FastAPI, Python
  • AI: LLM integration, local model deployment, agent workflows
  • Ops: Linux servers, Nginx, Docker

Research

  • Student at ShanghaiTech University
  • Focused on distributed optimization algorithms

Reach Out

If you want to talk about HarmonyOS, AI agents, indie building, or MLP, feel free to reach out.

Pinned Loading

  1. sihuangtech/sk-llm-gateway sihuangtech/sk-llm-gateway Public

    SK LLM Gateway - Unified LLM platform supporting OpenAI, Anthropic, Google, Alibaba, Baidu and 10+ vendors. FastAPI-based with OpenAI-compatible API, Gradio dashboard, dynamic model switching, visi…

    Python

  2. sihuangtech/rectangular-mosaic-desktop sihuangtech/rectangular-mosaic-desktop Public

    A PySide6-based cross-platform batch image mosaic tool with rectangular selection for sensitive areas. Supports batch processing, template saving, undo operations, and adaptive icons for privacy pr…

    Python

  3. MindSpore-Ewaste-Recognition-System-MobileNetV3 MindSpore-Ewaste-Recognition-System-MobileNetV3 Public

    基于MindSpore框架和MobileNetV3网络的轻量级电子垃圾图像分类系统,支持12类电子废弃物识别。采用MobileNetV3-Small架构实现高效推理,提供完整图像预处理工具链,支持原始图像和MindRecord格式数据集,具备多核CPU并行处理能力和用户友好的交互式界面。

    Python 11

  4. AI-Based-ROI-Video-Transmission-System AI-Based-ROI-Video-Transmission-System Public

    本项目致力于设计和实现一个创新的基于嵌入式AI的ROI区域视频传输系统,旨在通过智能识别和优先传输视频中的关键区域(ROI),大幅提高视频监控和远程通信的效率与质量。利用先进的嵌入式AI技术,本系统能够在不牺牲视频质量的前提下,显著降低数据传输的带宽需求,为安全监控、远程教学、医疗健康等应用领域带来革命性的改进。

    Python 16 4

  5. visual-based-virtual-fitness-coach visual-based-virtual-fitness-coach Public

    近年来,个体健身训练逐渐成为健身的主流模式。他们使用各种应用程序或在线视频指导他们的健身训练。但是,在没有健身教练的情况下,他们频繁的健身动作是不规范的,会影响健身效果。针对该问题,本项目利用视觉识别技术对健身动作进行识别,从而提供健身指导。

    Python 13

  6. deep-learning-text-sentiment-analysis deep-learning-text-sentiment-analysis Public

    基于深度学习的中英双语文本情感分析系统,采用前后端分离架构。后端使用Flask+PyTorch实现,集成TextCNN、BiLSTM、BERT三种主流深度学习模型,支持模型训练、管理和推理。前端基于Vue3+TypeScript+ElementPlus构建现代化界面,提供直观的情感分析、模型管理和训练监控功能,支持ChnSentiCorp中文数据集和IMDb英文数据集的自动下载与预处理。

    Python 9 3