My Projects
A showcase of my work and technical expertise
AI Integration
Meama Analytics & AI Dashboard
A comprehensive retail analytics and AI dashboard built with Streamlit
Technologies Used
Python
Streamlit
PostgreSQL
Plotly
SQLAlchemy
ARIMA (statsmodels)
Google Gemini API
Key Features
- Interactive KPIs and visualizations for sales, footfall, and inventory
- Revenue simulation under promotions, discounts, seasonality, and external factors
- ARIMA-based revenue forecasting and predictive analytics
- AI-generated recommendations for promotions, product focus, and store strategy
Machine Learning
MNIST Handwritten Digits Recognition
A neural network project that recognizes handwritten digits from the MNIST database using deep learning techniques in Google Colab.
Technologies Used
Python
TensorFlow/Keras
Google Colab
Neural Networks
Key Features
- Handwritten digit classification with high accuracy
- Deep learning model training and evaluation
- Interactive visualization of predictions
- Real-time testing with custom digit images
Data Engineering
YouTube Trending Data Pipeline
A robust ETL pipeline that collects, cleans, and stores YouTube trending data for analytics and insights.
Technologies Used
Python
Pandas
PostgreSQL
Airflow
Key Features
- Automated extraction of trending videos from YouTube API
- Data cleaning and transformation for analysis
- Storage in PostgreSQL for historical trends
AI Integration
AI-Integrated CV Maker
A prompt-based CV generator that uses AI to create professional resumes from simple text prompts, eliminating the need for manual formatting.
Technologies Used
Python
AI/NLP
Streamlit
OpenAI/Gemini API
Key Features
- Generate complete CVs from text prompts
- AI-powered content generation and structuring
- Professional formatting automatically applied
- Export to PDF or editable formats
In Development
Machine Learning
Iris Flower ML
A classic machine learning project for classifying iris flower species using various ML algorithms.
Technologies Used
Python
Scikit-learn
Pandas
Matplotlib
Key Features
- Multi-class classification of iris species
- Comparison of different ML algorithms
- Data visualization and exploratory analysis
AI Integration
AI Audio Pipeline
An automated pipeline for processing and analyzing audio data using AI technologies.
Technologies Used
Python
AI/ML
Audio Processing
Key Features
- Automated audio data processing
- AI-powered audio analysis
- Pipeline architecture for scalability
Machine Learning
Cat or Dog ML
A machine learning project that classifies images of cats and dogs with high accuracy using deep learning techniques.
Technologies Used
Python
TensorFlow
Keras
OpenCV
Key Features
- Image classification using convolutional neural networks
- Data preprocessing and augmentation for better accuracy
- Model evaluation with precision, recall, and accuracy metrics
Data Engineering
Mini ETL
A lightweight ETL project designed to extract data from multiple sources, transform it, and load it into a structured database.
Technologies Used
Python
Pandas
SQLite
Key Features
- Extraction from CSV and JSON files
- Data cleaning and transformation
- Loading into SQLite for easy querying