🔧 Project Progress
| Project | Status | Progress |
|---|---|---|
| Sentiment Analysis | In Progress | 🔵🔵🔵🔵⚪⚪⚪⚪⚪⚪ (40%) |
| Object Detection | Planned | 🔵⚪⚪⚪⚪⚪⚪⚪⚪⚪ (10%) |
| Recommendation System | Planned | ⚪⚪⚪⚪⚪⚪⚪⚪⚪⚪ (0%) |
| Text Generation | Planned | ⚪⚪⚪⚪⚪⚪⚪⚪⚪⚪ (0%) |
Natural Language Processing (NLP)
Language Model for Text Generation
Trained a language model to generate human-like text based on input prompts, showcasing advanced NLP capabilities.
Sentiment Analysis
Built a sentiment analysis model to classify text as positive or negative, useful for customer feedback and social media analysis.
Custom Language Model
Developed a custom language model for specific language tasks, improving predictive text capabilities.
Computer Vision
Image Classification
Developed a convolutional neural network (CNN) to classify images into predefined categories with high accuracy.
Image Recognition
Built an image recognition system to identify objects and landmarks in images, demonstrating skills in deep learning for computer vision.
Object Detection System
Developed a real-time object detection model using YOLO to identify and classify objects in video streams, optimized for high-speed processing.
Recommendation Systems
Customer Recommendation System
Created a personalized recommendation system using collaborative filtering to enhance customer engagement for e-commerce.
Real-Time Data Processing
Real-Time Data Processing Pipeline
Designed a pipeline for processing data streams in real time, integrating Apache Kafka and Spark for scalable processing.
Data Patterns and Analytics
Fraud Detection
Built a machine learning model to detect fraudulent transactions with high accuracy, leveraging ensemble methods like Random Forest and Gradient Boosting.
Use Patterns Analysis
Analyzed user behavior data to identify patterns and trends, providing actionable insights for customer engagement.