Projects using Ollama
Projects using Ollama
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Chidozie Uzoegwu
Cardiovascular Studies RAG System Development
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Iftekhar Ahmed
AI-Generated Technical Service Bulletins for EVs
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4
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Richie Olejniczak
Vesryin/Spectra-AI-Library-Version
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Talha Zee
pro
AI-Powered CRM using MERN Stack & Machine Learning
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11
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Josh Mcdonagh
Multi-Agent AI Task Assistant
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Anurag Nagare
It all started on a Sunday at the AWS User Group Mumbai meetup. I wasn't expecting to walk away with a new obsession, but then the speaker introduced me to Temporal and everything changed. Temporal is a durable execution engine that solves one of the hardest problems in agentic AI what happens when your LLM workflow crashes mid-run? Normally you lose everything So I went home and built this: an agent that monitors your competitors around the clock tracking pricing changes, product launches, hiring signals, and strategic moves. Every 24 hours it uses Mistral (running fully on-device via Ollama) to analyze the data and synthesize a structured executive briefing delivered straight to your inbox. Sometimes the best projects start with a Sunday conversation. https://github.com/AnuragNagare/Agentic-AI-.git
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Eswar T
RAG Based Chatbots
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Saket Sarin
Pookie: besties only
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Aniket Panchal
🤖 MediBot AI – AI-Powered Medical Chatbot
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5
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John L
BenevolentJoker-JohnL/Sheppard
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5
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Saad Ahmad
Proud to share my work on an AI-powered relationship coach and manager designed to help people navigate conflicts across all types of relationships; family, friends, colleagues, partners, and teams. I engineered intelligent conversation flows, LLM-based guidance, and psychology-backed conflict analysis to deliver personalized insights grounded in real behavioral research. The app breaks down complex emotional dynamics and turns them into clear, actionable strategies for healthier communication. This project showed me how transformative AI can be when it supports something universal: improving how we understand, communicate, and connect with the people in our lives.
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Medhansh Singh
Vision-Cart V2: Neural Intelligence Platform Developed a high-end Visual Auditing dashboard for retail and industrial quality control. Unlike basic classifiers, this system performs Deep Feature Extraction—calculating metrics like caffeine content (mg), volume (ml), and shelf fill-levels. Edge-AI Mastery: Optimized to run Ollama (Moondream) locally on restricted hardware (2GB VRAM), ensuring total data privacy. Industrial UI: Built a 'Nuvion-Black' interface with real-time scanning animations and a horizontal Bento-grid for system vitals. Business Logic: Integrated a 'Neural Suggestion' engine to turn visual scans into automated inventory and QC decisions. Tags: #ComputerVision #EdgeAI #React #FastAPI #MachineLearning
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Ruben Riau
Integrating Ollama and LLM on AMD GPU in Linux
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John Bass
Customer Insights: LLM processing of customer feedback
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Ravi Avaiya
Chat With PDF
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Muhammad Usman
Agentic RAG Pipeline for Intelligent Document Summarization
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