OpenAI GPT-4 Vision AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI GPT-4 Vision AI technology app submissions within our community.

GPT-4V(ision)

Discover the groundbreaking integration of GPT-4 Vision, an innovative addition to the GPT-4 series. Witness AI's transformative leap into the visual realm, elevating its capabilities across diverse domains.

General
Release date	September 25, 2023
Author	OpenAI
Documentation	OpenAI's Guide
Type	AI Model with Visual Understanding

Overview

GPT-4 Vision seamlessly integrates visual interpretation into the GPT-4 framework, expanding the model's capabilities beyond language understanding. It empowers AI to process diverse visual data alongside textual inputs.

Visionary Integration

GPT-4 Vision blends language reasoning with image analysis, introducing unparalleled capabilities to AI systems.

Capabilities

Discover the transformative abilities of GPT-4 Vision across various domains and tasks:

1. Visual Understanding

Object Detection

Accurate identification and analysis of objects within images, showcasing proficiency in comprehensive image understanding.

Visual Question Answering

Adept handling of follow-up questions based on visual prompts, offering insightful information and suggestions.

2. Multifaceted Processing

Multiple Condition Processing

Interpreting and responding to multiple instructions simultaneously, demonstrating versatility in handling complex queries.

Data Analysis

Enhanced data comprehension and analysis, providing valuable insights when presented with visual data, including graphs and charts.

3. Language and Visual Fusion

Text Deciphering

Proficiency in deciphering handwritten notes and challenging text, maintaining high accuracy even in difficult scenarios.

Addressing Challenges

Mitigating Limitations

While pioneering in vision integration, GPT-4 faces inherent challenges:

Reliability Issues: Occasional inaccuracies or hallucinations in visual interpretations.
Overreliance Concerns: Potential for users to overly trust inaccurate responses.
Complex Reasoning: Challenges in nuanced, multifaceted visual tasks.

Safety Measures

OpenAI implements safety measures, including safety reward signals during training and reinforcement learning, to mitigate risks associated with inaccurate or unsafe outputs.

GPT-4 Vision Resources

Explore GPT-4 Vision's detailed documentation and quick start guides for insights, usage guidelines, and safety measures:

Official Documentation: GPT-4 Vision Documentation
Quick Start Guide: GPT-4 Vision Quick Start
GPT-4Vision system card

GPT-4 Vision Tutorials

Crafting Engaging Stories with AI: Building an Interactive Media App

👉 Discover more GPT-4 Vision Tutorials on lablab.ai

Edit on Github

OpenAI GPT-4 Vision AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI GPT-4 Vision AI technology, developed by our community members during our engaging hackathons.

Remote Care

Remote Care is an innovative AI-powered platform designed to revolutionize elder care in Hawaii. By enabling health professionals to effortlessly enter patient notes during care home visits, home visits, or phone interactions, Remote Care captures comprehensive and real-time data on each senior’s well-being. Utilizing advanced Natural Language Processing (NLP) and Emotional AI technologies, including models like GPT-4 and BERT, the platform meticulously analyzes these notes to identify safety concerns and uncover hidden mental health issues such as depression and anxiety. Instant alerts and intuitive dashboards provide caregivers and facility managers with actionable insights, allowing for proactive interventions that enhance the safety and quality of care. This not only improves the well-being of seniors but also reduces caregiver burnout and optimizes resource allocation within care facilities. Tailored specifically to Hawaii’s diverse and culturally unique communities, Remote Care offers a sensitive and effective solution to local elder care challenges. By integrating cutting-edge technology with compassionate care practices, Remote Care fosters healthier, safer, and more supportive environments for Hawaii’s aging population.

EMO

Developed a groundbreaking AI-driven platform aimed at empowering children with Autism Spectrum Disorder (ASD) to enhance communication, social interaction, and emotional intelligence. The platform incorporates several features designed to create an engaging, supportive, and educational experience tailored to their unique needs. Central to the platform is an interactive chatbot powered by Llama 3.1, enabling dynamic, personalized text-based conversations. This chatbot helps children practice communication skills in a non-judgmental, adaptive environment, fostering confidence and improving social interactions over time. To promote cognitive growth and enjoyment, the platform includes games like chess and a memory game. These activities are designed to improve focus, strategic thinking, and memory retention while ensuring a fun and engaging experience. A core feature is the emotion-learning module, where children can participate in quizzes designed to teach emotional recognition. The quizzes present various images representing emotions, and children select the emotion they perceive. The platform provides detailed feedback on their answers, helping them understand their mistakes and learn effectively. Using the advanced capabilities of Llama 3.2 Vision, the platform also offers an image emotion analysis tool. Children can upload any image, and the AI generates an accurate description of the emotions displayed, helping them understand facial expressions, gestures, and social cues in real-world scenarios. This all-in-one solution combines the power of interactive AI and engaging activities to create a safe, inclusive, and enriching environment where children with ASD can thrive socially, cognitively, and emotionally. It empowers them with tools to improve their daily interactions and enhances their overall quality of life.

BrailleFly VLM-Powered Navigation for the Blinds

BrailleFly revolutionizes accessibility with AI-powered smart glasses, designed for blind and visually impaired individuals. While the core product ensures safety with offline capabilities like obstacle detection and facial recognition, we are testing advanced Visual Language Model (VLM) functionalities during this hackathon. Leveraging VLM (e.g., Llama 3.2), our glasses provide real-time obstacle recognition and enhanced navigation features, transforming the way users interact with their surroundings. This testbed explores VLM’s potential to deliver scene understanding and seamless waypoint navigation via intuitive gestures and voice commands. By balancing cutting-edge offline safety functions with online features, BrailleFly creates an inclusive and adaptive experience for users worldwide.

PrepAlly

PrepAlly transforms coding interview prep with cutting-edge AI, offering real-time feedback, voice-guided support, and immersive, personalized insights. Using Aria for natural interactions and ElevenLabs for lifelike feedback, PrepAlly builds candidates' confidence and sharpens performance. Open-Source and Community-Driven, it’s built on a modern tech stack and deployed on Vercel for seamless global access. PrepAlly empowers candidates to go beyond routine practice, making each session a powerful step toward interview mastery. Prep smarter, perform stronger, and tackle every coding challenge with clarity and confidence.

movie-travel-SanFrancisco-Edition

Using LangGrpah and OpenAI latest models and function calling capability, we created an agent that interacts with the user over a very interesting dataset maintained by the city of San Francisco government about all the locations in the city that have been used by film and TV projects since the early 20th century. Our goal is to inform tourists and locals alike about all the interesting history associated with different landmarks and streets in the city as it relates to visual arts ad culture. We envision users asking the Agent questions about different categories of films shot in SF; Asking the agent to provide an itinerary customized to the user's geo-location and interests. As of now, we have a working prototype that offers information based on the dataset. However, the geo-location feature has not been completely implemented yet.

mediflow

MediFlow is an AI-powered system designed to transform patient onboarding and diagnosis in healthcare. It addresses key challenges like long wait times, inefficient onboarding, limited pre-appointment data for doctors, and difficulty prioritizing urgent cases. By integrating AI and streamlining workflows, it enhances both patient experience and healthcare delivery. The system's core feature is an AI-driven Interactive Voice Response (IVR) system, which guides patients through the onboarding process, gathers essential data, and directs them to appropriate departments. This personalized experience improves data collection by adapting to individual medical histories and needs. MediFlow also features an automated diagnosis system. Its AI algorithms analyze patient symptoms and medical history to generate an initial diagnosis and a detailed report for doctors. This enables more personalized, informed care before the appointment. Patients benefit from 24/7 access to healthcare guidance, reduced appointment wait times, and a more efficient, personalized experience. Healthcare providers gain comprehensive pre-appointment information, improving decision-making and care planning. MediFlow also helps prioritize urgent cases for timely attention, optimizing resource use. Technically, MediFlow uses Twilio for its IVR system, GPT-4 models for diagnosis generation, and Django for AI and IVR integration. The frontend is built with Next.js, and the system is hosted on Vercel and DigitalOcean, ensuring scalability and reliability.