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--- |
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title: README |
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emoji: 📉 |
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--- |
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# Lumiotech Private Limited 🚀 |
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**Empowering Businesses with Cutting-Edge AI Solutions** |
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Lumiotech Private Limited specializes in delivering AI solutions that address real-world business challenges. Our platforms are designed to streamline operations, uncover actionable insights, and adapt to diverse organizational needs. We prioritize effective technology that empowers businesses to stay ahead in a competitive landscape. |
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## Platforms 🛠️ |
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Our suite of AI-driven platforms includes: |
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- **Nova**: A cutting-edge Business Insights Engine powered by advanced AI models and Ontology. Nova enables enterprises to unlock actionable insights for smarter decision-making, enhancing operational efficiency. |
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- **Whisper**: An intelligent, real-time analytics platform that transforms raw data into clear, conversational insights. Whisper provides instant, context-aware recommendations and assists in onboarding new hires, simplifying the learning curve for seamless integration. |
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- **Sentry** *(In Development)*: A mission-critical solution for defense, military, and law enforcement sectors. Sentry offers advanced AI-driven support for high-stakes operations, providing real-time monitoring and alerts to enhance situational awareness and effective decision-making. |
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## Our Commitment 🎯 |
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At Lumiotech, we believe that every business, regardless of size, deserves access to cutting-edge AI solutions. Whether you're a solo entrepreneur, a growing MSME, or a large corporation, our technology is designed to scale with your needs. We tailor our AI-driven platforms to deliver impactful results, empowering you to optimize operations and unlock new opportunities. |
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Our solutions offer: |
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- Seamless Integration🔗 |
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- Robust Security🛡️ |
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- Data-Driven Insights📊 |
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- Scalable Architecture📈 |
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- Cost-Effective Implementation💰 |
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- Real-Time Analytics⏱️ |
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## Using Our Models 🧑💻 |
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You can integrate our models into your projects using the Hugging Face `transformers` library. Here's a quick example: |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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# Load the tokenizer and model |
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tokenizer = AutoTokenizer.from_pretrained("lumiotech/model-name") |
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model = AutoModelForSequenceClassification.from_pretrained("lumiotech/model-name") |
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# Tokenize input |
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inputs = tokenizer("Your input text here", return_tensors="pt") |
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# Get model predictions |
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outputs = model(**inputs) |
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``` |
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Replace `"lumiotech/model-name"` with the specific model you wish to use. |
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## Contact Us 📞 |
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For inquiries or to learn more about our platforms, please reach out to us: |
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- **Email**: info@lumiotech.in |
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- **Phone/WhatsApp**: +91 8920475200 |
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Visit our website for more information: |
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© 2024 Lumiotech Private Limited. All Rights Reserved. |
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