I am a Computer Science & Engineering undergraduate specializing in Artificial Intelligence & Machine Learning at Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar (Graduating 2028).

My technical focus lies in building practical Computer Vision systems, Deep Learning models, and Agentic AI solutions that solve real-world problems.

• 🎓 Education: B.Tech in CSE (AIML Specialization) @ KIIT (2024 – 2028)
• 🤖 Leadership: Point of Contact (POC) & ML Team Member @ KIIT Robotics Society
• 🎙️ Community Work: Organized and conducted "The Imitation Game", a hands-on workshop on Agentic AI principles
• 🛠️ Current Focus: Real-time Computer Vision pipelines, LLM-powered adaptive software, and Neural Network optimization

Python, Streamlit, OpenCV, Groq LLM API, Emotion Analytics

• Built an intelligent coding tutor that evaluates student code and adapts problem difficulty in real time.
• Integrated OpenCV to track emotional indicators and typing pace during coding sessions.
• Connected the Groq LLM API to deliver automated error explanations, context-aware hints, and personalized problem recommendations.

Python, TensorFlow, Keras, ResNet50, Streamlit, Pandas

• Engineered an automated food image classification system using a custom-trained ResNet50 CNN model.
• Mapped classification outputs to a Pandas nutrition database to output caloric and macronutrient breakdowns per 100g.
• Built an interactive Streamlit UI for quick image uploads and instant visualization of nutrition metrics.

Python, Streamlit, OpenCV, Pillow, NumPy

• Developed a computer vision dashboard that tracks livestock species and keeps automated herd counts.
• Implemented an algorithmic health assessment module classifying animals as Healthy or At Risk.
• Designed real-time warning indicators on a Streamlit interface to alert farm administrators and veterinarians.