Projects

Explore my AI experiments and innovations

0. Chatbox Project

An innovative AI-powered chatbox that demonstrates natural language processing capabilities and intelligent conversation handling.

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1. Mathematics AI Foundations & Optimization

Develop a large general-learning framework based on mathematical optimization principles to perform advanced feature extraction and dimensionality reduction techniques essential from scratch to effectively train a function on a vast dataset.

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2. Data Pipeline & Python Application

Create a data processing pipeline with end-to-end implementation that ingests raw data, cleans it, and feeds it into a Project ML model (e.g., a basic recommendation engine). Demonstrate ETL processes, proper version control and testing.

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3. AI Agent for Puzzle/Game Solving

Develop an AI agent using machine learning algorithms (e.g., A* search) to solve puzzles or play simple games (e.g., tic-tac-toe). Implement decision trees and demonstrate performance evaluation.

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4. Predictive Modeling & ML Application

Create a predictive model to classification or regression on a real dataset (e.g., housing prices, customer segmentation). This project includes data preprocessing, feature selection, and performance evaluation using appropriate metrics.

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5. Data Mining & Pattern Discovery

Mine a large dataset (e.g., retail transactions, social media text) to discover hidden patterns and insights using clustering and association rule mining. Create interactive charts and present a comprehensive report.

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6. AB Experiment Design & Metrics

Design a rigorous experimental framework for product testing with multiple variants/features in a controlled environment. Calculate statistical significance for all test period, total earnings to ensure meaningful insights. Document the full recommended pipeline for experiments.

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7. AI Ethics Audit & Responsible Design

Audit an AI system (e.g., a facial recognition model for bias, fairness, and privacy issues). Create documentation on observed risks and propose an ethical framework for responsible AI design and deployment.

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8. Data Visualization & Interactive Dashboard

Build an interactive dashboard using Tableau, Plotly, or Power BI to visualize insights from real or your projects. The dashboard should tell a compelling story with exploration and clearly communicate findings.

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9. MLOps & Deployment Pipeline

Design and implement a continuous integration/deployment pipeline to train, register, and deploy models (AWS, Azure, or GCP). Build monitoring and alerting for model performance degradations. Include container orchestration (e.g., Kubernetes), demonstrate a consistent model registry (MLflow), CI/CD best practices, and basic A/B test infrastructure. Compare performance across environments.

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10. Deep Learning/Image Classifier

Develop a model to train/generate using Tensorflow-based architecture to recognize images, classify content, or create art. Fine-tune or train from scratch from an open-source CNN or domain-specific dataset and demonstrate inference.

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11. NLP & Generative Chatbot with RAG

Build a generative model (e.g., GPT or diffusion-model) to create text, images, or other content that responds to prompts with augmented methods to extract/ingest based on similar content entries.

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12. Reinforcement Learning Agent

Develop an RL agent (using algorithms like Q-learning, etc.) to play a simulation game (e.g., CartPole or similar Gym/AI environment). Compare performance across different hyperparameters.

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13. IoT/Edge AI

Implement a real-time object detection or activity analysis system that can process video, sensor data, etc., on resource-limited or mobile/IoT devices with minimal latency, along with ML/vision, real-time feedback/alerts, and edge analytics.

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14. Knowledge Graph & Reasoning

Create a knowledge graph from unstructured data (e.g., Wikipedia or domain documents). Build insights from knowledge relationship structures, using SPARQL, visualize the semantic space. Evaluate inference capabilities or question answering.

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15. Security & Privacy in AI

Analyze a facial processing pipeline for a robotic vision system. Implement differential privacy techniques to protect identities while enabling personal recognition and security strategies.

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16. Human-Centered & Ethical Interface Design

Design a prototype to AI-driven user experiences for a diverse, inclusive audience. Demonstrate testing methods to represent bias. Conduct user studies and pursuit design improvements based on feedback.

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17. AI in Healthcare Application

Develop a model to diagnose a condition (e.g., detecting pneumonia from X-rays). Address data imbalances, demonstrate domain-specific considerations, explain model, LIME, etc.

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18. AI in Business Optimization Project

Create a system to automate a business problem such as demand forecasting, model churn optimization, or combine customer segmentation with predictive modeling with business intelligence methodologies to generate strategic decision making.

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19. AI in Financial Applications

Build a model to detect fraud/anomaly detection of a financial transactions dataset. The model should include analysis of patterns and insights to stakeholders.

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20. GenAI Portfolio Generator AI

Create a model to produce a web portfolio of work, skills, and experience based on resume, GitHub/BitBucket accounts, and job specifications.

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