With a few lines of logic, I make silicon think.
Aspiring AI Engineer passionate about Machine Learning, Deep Learning, and Generative AI, dedicated to building intelligent systems that solve real-world problems.
ABOUT ME
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Curious and driven B.Tech student majoring in Industrial Internet of Things at GGSIPU, with hands‑on experience in machine learning, deep learning, and web development. Passionate about building impactful AI projects—from yoga posture correction systems to intelligent virtual assistants.
Proficient in Python, JavaScript, and open‑source tools, with a strong foundation in deploying ML models using tools like Streamlit. Always eager to explore new technologies, solve real‑world problems, and contribute to innovative communities. Currently leading startup initiatives and hackathon teams while actively upskilling in generative AI
PROJECTS
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Posture Detection System
Developed a real-time posture evaluation system using PoseNet, detecting 17 keypoints from the body to analyze posture and provide live feedback visualization; the system has positively impacted over 100 users by promoting better posture habits
J.A.R.V.I.S Virtual Assistant
Integrated OpenAI, Wikipedia, and Spotify APIs to enable dynamic, voice-driven interactions and system controls, handling over 1,000 voice queries with seamless real-time performance.
Predictive Parking Pricing Model
Designed a machine learning model to predict accurate real-time parking prices based on temporal and spatial data, achieving over 95% prediction accuracy and helping identify fair pricing across 150+ parking zones.
IPL Win Probability Prediction Model
This model predicts the winning probabilities of competing IPL teams using linear regression. It analyzes real-time match data such as the batting team, target score, overs played, and wickets lost to estimate each team's chance of winning, expressed as percentages.
