Aspiring Data Scientist | Data Analyst | Python Developer | Machine Learning Enthusiast
Description: Developed a model to recommend products based on user search queries and behavior.
Tech Stack: Python, Scikit-Learn, Pandas, BeautifulSoup.
Outcome/Impact: Increased recommendation efficiency and relevance based on keywords, potentially improving user engagement and sales.
Description: This project is a modern web application for real-time face registration and recognition. Users register by capturing their face via webcam, and the system stores a unique facial embedding for each user. During recognition, the app processes live webcam frames, detects faces, and matches them against the registered database to identify users.
Tech Stack: Python, Flask, SQLite, NumPy, TensorFlow, Keras, OpenCV, Deep Learning (Siamese CNNs).
Outcome/Impact: Achieved efficient and accurate face recognition by first registering user and then recognizing, suitable for applications in security or user interaction.
Description: Designed a machine learning pipeline to predict the efficiency of solar panels based on sensor and operational data.
Tech Stack: Python (Pandas, NumPy), Scikit-learn, Machine Learning, Matplotlib.
Outcome/Impact: Helps optimize solar panel performance, anticipate maintenance needs, and improve energy yield by providing accurate efficiency predictions, enabling operators to maximize output and plan maintenance effectively.
Will add more amazing Projects in the future!