π Computer Science & Engineering | π€ Machine Learning & AI Enthusiast | π Belagavi, India
I'm a Computer Science student passionate about Machine Learning, Computer Vision, and Web Development. I enjoy building intelligent systems to solve real-world problems.
- π Currently working on Machine Learning & AI projects
- π± Learning Deep Learning and advanced ML algorithms
- π― Looking to collaborate on Open Source ML/AI projects
- π¬ Ask me about Python, Machine Learning, and Computer Vision
- β‘ Fun fact: I enjoy making technology more accessible.
Full-stack ML web application for healthcare prediction
- Tech Stack: Python, Flask, Scikit-learn, HTML/CSS
- Features: Real-time CKD prediction, Interactive web interface, Model accuracy optimization
- Impact: Helps in early detection and prevention of kidney disease
Computer vision system for road safety
- Tech Stack: Python, OpenCV, Facial Recognition, Real-time Processing
- Features: Eye aspect ratio monitoring, Alert system, Real-time detection
- Impact: Enhances road safety through AI-powered monitoring
Flask-based web app for sentiment analysis from text, images, and audio
- Tech Stack: Python, Flask, HTML/CSS, Machine Learning
- Features: Analyzes sentiment from multiple input types, Responsive web interface
- Impact: Provides a comprehensive tool for sentiment analysis
π€ Chatbot using Rasa
Interactive chatbot developed using the Rasa framework
- Tech Stack: Python, Rasa, HTML
- Features: Interactive conversation, Extensible framework
- Impact: Demonstrates skills in building conversational AI
class SagarShresti:
def __init__(self):
self.current_work = "Building AI solutions for real-world problems"
self.learning = [
"Advanced Deep Learning",
"Computer Vision",
"MLOps & Model Deployment",
"Full Stack Development"
]
self.interests = [
"Healthcare AI",
"Safety Applications",
"Web Development",
"Open Source Contributing"
]
self.goals_2025 = [
"Contribute to major open source projects",
"Build production-ready ML applications",
"Master advanced AI/ML concepts",
"Share knowledge through blogs/tutorials"
]
def get_daily_routine(self):
return "Code β Learn β Build β Repeat π"β Star my repositories if you find them useful!
