class PriyanshSaxena:
def __init__(self):
self.name = "Priyansh Saxena"
self.education = "IIITM Gwalior (B.Tech/M.Tech in Data Science)"
self.interests = ["Machine Learning", "LLMs", "Cloud Architecture", "MLOps"]
self.currently_learning = ["Advanced MLOps", "AWS", "NGINX"]
self.looking_for = "Collaborative Data Science Projects"
self.contact = "[email protected]"
self.open_source_contributions = ["krkn-chaos (by Red Hat)"]
def say_hi(self):
print("Thanks for visiting my profile! Let's connect and build something amazing together!")
me = PriyanshSaxena()
me.say_hi()- 🎓 Currently pursuing B.Tech/M.Tech in Data Science at IIITM Gwalior
- 🔭 I’m currently working on krkn-chaos
- 🌱 Expanding my knowledge in MLOps, Cloud Architecture, and Infrastructure
- 👨💻 Building intelligent applications with Machine Learning & LLMs
- 🔍 Researching applications of Large Language Models in real-world scenarios
- 🚀 Passionate about creating ML-powered solutions that solve meaningful problems
- 📚 Always learning and adapting to new technologies and methodologies
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A smart Excel analysis tool that uses LLMs to generate visualizations based on natural language queries. |
AI-powered medical assistant that provides health information and recommendations using advanced LLMs. |
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Intelligent recipe recommendation system that suggests meals based on available ingredients and dietary preferences. |
Automated attendance system using facial recognition technology for contactless attendance tracking. |
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| Project Name | Description | Technologies |
|---|---|---|
| LLM Integrated Excel Plotter | Intelligent Excel data analyzer that uses natural language processing to generate visualizations and insights from tabular data |
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| Healio Medical Assistant | AI-powered healthcare chatbot that provides medical information and preliminary diagnoses using advanced language models |
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| Recipe Adviser App | Personalized recipe recommendation system that suggests meals based on available ingredients, dietary restrictions, and user preferences |
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| Face Recognition Attendance | Automated attendance tracking system using facial recognition to identify and record student or employee presence |
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| Anomaly Detection in IoT | Real-time anomaly detection system for IoT data streams using advanced statistical methods and machine learning algorithms |
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| SummarizeMe | Advanced text summarization tool that condenses long documents while preserving key information using transformer-based models |
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| Stock Sentinel | Stock price prediction application that combines technical analysis with sentiment analysis from news and social media |
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| Neural Network from Scratch | Implementation of neural networks from first principles, demonstrating deep understanding of backpropagation and optimization algorithms |
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