Hello! I'm Warda Ahad, a Bachelor of Artificial Intelligence Student passionate about building intelligent systems using Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision.
I work on developing predictive models, AI applications, NLP solutions, computer vision systems, and deploying machine learning solutions using Python.
- 📝 Natural Language Processing (NLP)
- 🔤 Text Preprocessing & Tokenization
- 💬 Text Classification
- 📊 NLP Feature Extraction
- 🚀 AI Model Deployment
- Working on Machine Learning and Data Science projects
- Developing and evaluating ML models
- Performing data preprocessing and analysis
- Building AI solutions using Python
- Exploring machine learning deployment workflows
- Worked on Artificial Intelligence and Machine Learning projects
- Developed and experimented with AI/ML solutions using Python
- Applied data preprocessing and machine learning techniques
- Worked with model development and evaluation
- Gained practical experience in AI project development
- Worked on Data Science projects and data analysis
- Performed data cleaning and preprocessing
- Analyzed datasets to extract meaningful insights
- Applied Python and data science techniques
- Worked with data visualization and exploratory data analysis
- Building Machine Learning projects
- Developing APIs with FastAPI
- Creating interactive applications with Streamlit
- Working with NLP and Computer Vision concepts
- Deploying machine learning applications
- Version control with Git & GitHub
| Area | Skills |
|---|---|
| 🤖 Machine Learning | Regression, Classification, Feature Engineering, Model Evaluation |
| 🧠 Deep Learning | Neural Networks, TensorFlow, Keras |
| 📝 NLP | Text Preprocessing, Tokenization, TF-IDF, Bag-of-Words, Text Classification |
| 👁️ Computer Vision | Image Processing, Object Detection, YOLO |
| 📊 Data Science | Pandas, NumPy, Data Visualization, EDA |
| ⚡ Backend | FastAPI, REST APIs |
| 🚀 Deployment | Streamlit, Railway |
- 🐍 Python
- 📊 Pandas
- 🔢 NumPy
- 📈 Matplotlib
- 🎨 Seaborn
- 🗄️ SQL
- 🤖 Scikit-learn
- 🌳 Decision Trees
- 🌲 Random Forest
- 📉 Regression Models
- 📊 Classification Models
- ⚙️ Feature Engineering
- 📈 Model Evaluation
- 🧠 Artificial Neural Networks
- 🔥 TensorFlow
- ⚡ Keras
- 🧩 Deep Learning Fundamentals
- 📝 NLP Fundamentals
- 🔤 Text Preprocessing
- 🧹 Tokenization
- 📊 TF-IDF
- 📦 Bag-of-Words
- 💬 Text Classification
- 👁️ Image Processing
- 🔍 Object Detection
- 🎯 YOLO
- 🖼️ Image Classification
- 🧠 Deep Learning for Computer Vision
- ⚡ FastAPI
- 🎨 Streamlit
- ☁️ Railway
- 🐙 Git
- 💻 GitHub
- 🖥️ VS Code
- 📒 Jupyter Notebook
Deep Learning & Computer Vision Project
An AI-powered road damage detection system using YOLO to detect different types of road damage from images.
Tech Stack
🐍 Python 🧠 Deep Learning 🎯 YOLO 👁️ Computer Vision ⚡ FastAPI 🎨 Streamlit
Machine Learning Deployment Project
An end-to-end machine learning system that predicts customer churn using classification models and provides predictions through a web application.
Tech Stack
🐍 Python 🤖 Scikit-learn ⚡ FastAPI 🎨 Streamlit ☁️ Railway
Machine Learning Regression Project
A machine learning system for predicting house prices using regression algorithms and data preprocessing techniques.
Tech Stack
🐍 Python 📊 Pandas 🤖 Scikit-learn 📈 Regression Models
Deep Learning Classification Project
A deep learning classification project focused on predicting loan default risk using Artificial Neural Networks.
Tech Stack
🐍 Python 🧠 TensorFlow 🔥 Keras 🔗 Neural Networks
Machine Learning Prediction System
A machine learning application for predicting crop yield based on fertilizer and agricultural data.
Tech Stack
🐍 Python 📊 Pandas 📉 Linear Regression 📈 Data Visualization 🎨 Streamlit
Artificial Intelligence & NLP Project
A Python-based chatbot implementing rule-based conversational logic and basic NLP concepts.
Tech Stack
🐍 Python 📝 NLP Basics 💬 Rule-Based System
🐍 Python Programming
⬇️
📊 Data Analysis
⬇️
🤖 Machine Learning
⬇️
🧠 Deep Learning
⬇️
📝 Natural Language Processing
⬇️
👁️ Computer Vision
⬇️
⚡ FastAPI & Deployment
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✨ Future: Generative AI
⬇️
🔗 Future: AI Agents
- ✨ Generative AI Applications
- 🧩 Large Language Models (LLMs)
- 🔗 Retrieval-Augmented Generation (RAG)
- 🤖 AI Agents
- ⚡ AI Automation Workflows