I. Facial Skin Disease Detection using CNN:
Developed a convolutional neural network (CNN)-based model to detect various facial skin diseases from images
- Designed and trained CNN model for image classification, achieving 90% accuracy on a test dataset
- Integrated real-time image processing capabilities to detect and classify skin conditions on user-uploaded images
II. Front-end clone of amazon using CSS:
Recreated Amazon’s front-end using CSS, focusing on the layout, design, and interactivity of key features
- Cloned homepage layout with precise styling and dynamic elements using HTML and CSS
- Created interactive elements like navigation menus and search bars, replicating Amazon's user experience
III. Car Price Prediction and Analysis Using Linear Regression:
Built a car price prediction model using linear regression to analyze factors affecting car prices
- Collected and cleaned data from over 1,000 car listings, including features such as brand, model, year, and mileage
- Built and trained a linear regression model that predicted car prices with an accuracy of 85%
IV. Hand Gesture Detection for TikTok Filter:
Developed hand gesture detection system to replicate TikTok’s hand gesture filter that recognizes specific hand movements
- Designed and implemented real-time hand gesture detection using OpenCV and MediaPipe, achieving 95% accuracy in gesture recognition.
- Optimized the model and system for low-latency performance, ensuring smooth real-time feedback even on lower-end devices.
