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AI for online exam proctoring

AI in EdTech: Building a domain-tuned exam proctoring system for reliable cheating detection

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As online examinations grow globally, EdTech platforms need accurate, scalable, and cost-efficient AI proctoring systems. This case study shows how InteligenAI helped a US-based exam proctoring platform replace generic vision APIs with a fully custom AI-based remote proctoring solution—designed to improve detection accuracy, reduce operational cost, and eliminate manual review bottlenecks. This work demonstrates InteligenAI’s […]

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GPT-5.1

GPT-5.1: Discover What’s New in OpenAI’s Latest AI Model

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November 13, 2025 OpenAI has officially launched GPT-5.1, introducing meaningful improvements in reasoning depth, responsiveness, and conversational flow. Rather than a raw capability jump, GPT-5.1 feels like an upgrade to how users experience the model: Faster where needed More deliberate when required and more controllable overall. This release marks another step toward AI systems that

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IndQA

Why the launch of IndQA by OpenAI matters for global AI — and why India is key

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OpenAI’s IndQA benchmark shifts the conversation from translation to native, culture-aware reasoning. Here’s what it means for AI product teams, startups, and enterprises, Published by InteligenAI — 12 November 2025 In today’s age of large-language models (LLMs) and generative AI, one major gap persists: language and cultural depth. Most benchmarks, systems and deployments assume English

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3 Open-Source Projects Every Engineer Should Try in 2025

3 open-source projects every engineer should try in 2025

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November 8, 2025 Open source projects for engineers are transforming development workflows. Discover three open-source projects (opencode, DeepCode, Llama-Factory) that bring AI into developer workflows: inside the terminal, from paper-to-code, and from model-to-deployment. Modern engineering teams want AI that fits their workflow. Whether you’re a backend engineer, a research scientist, or a DevOps lead, developer-native

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Top 5 zero-shot object detection models in 2025

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Overview Zero-shot (open-vocabulary) object detection lets models find and localize objects they were not explicitly trained on — using language prompts instead of thousands of class-specific annotations. This changes how enterprises approach vision projects: faster prototyping, less labeling, and new opportunities for real-time automation. Top 5 zero-shot object detection models: 1. OWL-ViT What it is:

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AI use case in Sales: Automating call audits and compliance for insurance sales

AI use case in Sales: Automating call audits and compliance for insurance sales

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AI use case in Sales: For large BPOs managing outbound insurance sales, manual quality assurance (QA) processes often struggle to keep pace with high call volumes. This leads to increased operational costs, subjective assessments, and the risk of missed regulatory breaches. InteligenAI recently partnered with a leading global BPO firm to address these challenges by

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AI use case in education

AI in education digital content platform – Powerful future of learning in 2025

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The world of education is rapidly changing, and the rise of the AI in education digital content platforms is one of the most powerful shifts. Schools, colleges, and edtech companies across India, the US, the UK, and Canada are looking for ways to create scalable, personalized, and curriculum-aligned digital content. At InteligenAI, we partnered with

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How AI is transforming public services in India: A case study

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In today’s digital-first world, citizens expect government services to be seamless, fast, and accurate. As India accelerates its Digital India initiative, the demand for instant, error-free public services has never been higher. Yet many public sector workflows remain bottlenecked by manual document validation processes. At InteligenAI, we recently partnered with a state-level government to introduce

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The top 9 open-source AI Agent frameworks (2025 Edition)

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The AI landscape has shifted dramatically in just a few years. What began with simple chatbots has now evolved into sophisticated AI agents capable of reasoning, planning, and collaborating in real-time. By 2027, 86% of organizations are expected to deploy AI agents, with many leaders projecting triple-digit ROI from these systems. But the real challenge

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