https://github.com/axnjr/snn_be_pro

A state of the art AI framework for no/low-code (visually - drag & drop) building, testing, deploying, integrating latest deep learning models with privacy & security compliance using ollama, as a final year project!
https://github.com/axnjr/snn_be_pro

ai cplusplus cpp cuda deep-neural-networks kernel-driver ml mlops python

Last synced: 4 months ago
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A state of the art AI framework for no/low-code (visually - drag & drop) building, testing, deploying, integrating latest deep learning models with privacy & security compliance using ollama, as a final year project!

• Host: GitHub
• URL: https://github.com/axnjr/snn_be_pro
• Owner: Axnjr
• Created: 2025-03-24T03:40:19.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-04-24T05:47:15.000Z (9 months ago)
• Last Synced: 2025-08-30T17:48:20.294Z (5 months ago)
• Topics: ai, cplusplus, cpp, cuda, deep-neural-networks, kernel-driver, ml, mlops, python
• Language: C++
• Homepage:
• Size: 66.6 MB
• Stars: 5
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Snn - The ultimate AI Framework!

An all-in-one AI development suite that simplifies, accelerates, and secures AI application development at scale.

## Team:

- Yakshit Chhipa

- Abhit 

- Sheezy

- Piyush

## 🚀 Features

### ⚡ High-Performance C++ Core

- **Blazing-fast model execution**, outperforming TensorFlow and PyTorch.

- **Optimized memory management** for large-scale AI workloads.

- **Zero-copy data transfers** for lightning-fast inference.

- **Parallelized computations**: Fully utilizes CPU/GPU/NPU.

### 🔐 Ollama-Powered Security & Privacy

- **On-device execution**: No cloud dependencies, complete data control.

- **End-to-end encryption**: Secure AI model interactions.

- **Fully compliant** with privacy regulations (GDPR, HIPAA, etc.).

- **Federated learning support**: Train models across devices without sharing data.

### 🌐 Minimalistic Web App

- **Lightning-fast UI**: Modern, intuitive interface for managing AI models.

- **API-first design**: Easily integrate with existing applications.

- **Live inference testing**: Run real-time AI models directly from the browser.

- **Multi-user collaboration**: Work with teams in shared AI projects.

### 🏎 Hardware-Accelerated AI

- **Optimized for GPUs, TPUs, and NPUs**: Leverage hardware acceleration.

- **Built-in parallel processing**: Train and deploy models at scale.

- **Auto-tuned performance**: Adapts to system architecture.

- **Multi-backend support**: Switch between CUDA, OpenCL, and Metal.

### 🛠 Model Optimization & AutoML

- **Automated hyperparameter tuning**: Optimize model parameters effortlessly.

- **Quantization & pruning**: Reduce model size while maintaining accuracy.

- **Knowledge distillation**: Transfer knowledge from large models to smaller, efficient versions.

- **Neural architecture search (NAS)**: AI-designed neural network topologies.

### 🔄 Continuous Training & Deployment

- **Incremental learning**: Train models without starting from scratch.

- **A/B testing framework**: Compare different AI models in real-world environments.

- **Rolling updates**: Deploy new models without downtime.

- **Auto-scaling inference**: Adjust resources dynamically based on demand.

### 🔍 Advanced Debugging & Explainability

- **AI interpretability tools**: Visualize how models make decisions.

- **Error analysis dashboard**: Identify and correct model weaknesses.

- **Layer-wise inspection**: Debug individual model layers.

- **Bias detection & mitigation**: Ensure fairness in AI predictions.

### 📦 AI Model Marketplace

- **Pre-trained models**: Access a repository of optimized models.

- **Custom model sharing**: Upload and monetize your AI solutions.

- **Secure licensing**: Restrict access to proprietary models.

- **One-click deployment**: Deploy shared models with minimal setup.

### 📡 Edge AI & IoT Integration

- **Ultra-low latency inference**: Run AI models directly on edge devices.

- **Embedded system support**: Compatible with Raspberry Pi, Jetson, and more.

- **Offline AI processing**: Execute models without internet connectivity.

- **5G-ready AI**: Optimized for high-speed, low-latency networks.

### 🏛 Enterprise-Grade Infrastructure

- **Cloud-native scalability**: Deploy on AWS, GCP, Azure, or on-prem.

- **Multi-region support**: Ensure low latency with globally distributed AI.

- **Service mesh integration**: Secure, observable AI microservices.

- **Automated CI/CD pipelines**: Streamline development and deployment.

### 🎭 Multi-Modality AI

- **Text, image, and video AI**: Train models across multiple data types.

- **Speech recognition & synthesis**: Build voice-powered applications.

- **3D model processing**: AI-powered object recognition and manipulation.

- **Multilingual NLP**: AI that understands over 100 languages.

### 🔄 Reinforcement Learning & Robotics

- **AI agents**: Train models to interact with dynamic environments.

- **Simulated environments**: Test AI in virtual simulations before deployment.

- **Self-learning systems**: AI that continuously improves through experience.

- **Robotics integration**: Build AI-powered automation systems.

### 🧠 Custom LLM Integration

- **Fine-tune large language models**: Train custom GPT-based models.

- **Context-aware AI**: Build AI that adapts to user interactions.

- **Multi-modal generative AI**: Combine text, images, and video generation.

- **Custom embeddings & vector search**: Build domain-specific AI assistants.

### 🎮 AI-Powered Game Development

- **Procedural content generation**: AI-assisted world-building.

- **Realistic NPC behavior**: Train models for natural character interactions.

- **AI-driven physics engines**: Create adaptive game mechanics.

- **Reinforcement learning in games**: Train AI to master complex strategies.

---

## 🛠 Tech Stack

- **Core:** C++ (high-performance AI engine)

- **Frontend:** React + Tailwind CSS

- **Backend:** Rust/Go/C++/TypeScript

- **Database:** PostgreSQL

- **AI Engine:** Custom-built inference engine + Ollama LLM

## 📜 License

MIT License – Free to use and modify.

🔗 **Stay Updated:** Follow us on GitHub for the latest releases and updates!