A list of open-source AI projects you can use to generate income easily.
- Updated
Oct 19, 2025 - Python
A list of open-source AI projects you can use to generate income easily.
Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!
Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio.
My personal implementation of the model from "Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities", they haven't released model code yet sooo...
An interactive AI chatbot built with Streamlit and Groq API using the powerful llama-3.3-70b-versatile model. Features include a modern UI, memory toggle, and downloadable chat history. Ideal for testing LLMs or deploying a smart assistant in real-time.
Made with Python, crafted by Vishnu 💻✨ Nexora AI – A smart Python voice agent with GUI, reminders, WhatsApp messaging, app control, jokes, and more! Built with 💻 + 🧠 + ❤️.
A Novel Method to Visualize Multimodal AI Sentiment Arcs in Long-Form Narratives
Stay consistent. Stay accountable. Stay committed
This project implements an AI agent that verifies if automated Hercules test runs were executed as intended by comparing planning logs, video evidence, and final outputs. It uses open-source LLMs and computer vision tools to flag deviations, providing detailed reports with technical insights.
⚡💾 Vectro — Compress LLM embeddings 🧠🚀 Save memory, speed up retrieval, and keep semantic accuracy 🎯✨ Lightning-fast quantization for Python + Mojo, vector DB friendly 🗄️, and perfect for RAG pipelines, AI research, and devs who want smaller, faster embeddings 📊💡
A lightweight Explainable AI CNN for PathMNIST medical imaging, achieving 91%+ accuracy with Integrated Gradients and SQLite-based attribution storage. Built in PyTorch, this scalable model delivers high performance, transparency, and real-world readiness, making it ideal for medical AI, edge deployment, and explainable deep learning research.
Image recognition version of the Stonix AI
A local AI-powered math solver built with DeepScaleR and Gradio. Solve algebra, calculus, and other math problems offline using Ollama for fast, cost-free inference.
EPFL EMBA research on strategic open-source AI adoption through HF - Enterprise OSAI Framework, mixed-methods analysis, N=100 enterprises
Small language model of the Stonix AI
Visual dashboard to evaluate multi-agent & RAG-based AI apps. Compare models on accuracy, latency, token usage, and trust metrics - powered by NVIDIA AgentIQ
🔍 Enhance medical imaging with a lightweight CNN model that offers over 91% accuracy and integrated explainability for better clinical trust.
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