https://github.com/iron-chest/codsoft
This repository is for my internship as a AI Engineer at codSoft
https://github.com/iron-chest/codsoft
chatbot face-detection face-recognition image-captioning recommender-system tictactoe-game
Last synced: 6 months ago
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This repository is for my internship as a AI Engineer at codSoft
- Host: GitHub
- URL: https://github.com/iron-chest/codsoft
- Owner: Iron-chest
- Created: 2024-12-13T22:41:11.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-31T04:49:18.000Z (9 months ago)
- Last Synced: 2025-02-10T06:43:44.064Z (8 months ago)
- Topics: chatbot, face-detection, face-recognition, image-captioning, recommender-system, tictactoe-game
- Language: Python
- Homepage: https://www.linkedin.com/in/akintayo-tolani
- Size: 616 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI Engineering Internship Projects at CodSoft
Welcome to my GitHub repository documenting the projects I worked on during my AI Engineering Internship at CodSoft. This README provides an overview of the tasks completed, tools and techniques utilized, and the learning outcomes from each project.
## Table of Contents
1. [Task 1: Chatbot with Rule-Based Responses](AI_PROJECTS/1.CHATBOT_WITH_RULE_BASED_RESPONSES)
2. [Task 2: Tic-Tac-Toe AI](AI_PROJECTS/2.TIC_TAC_TOE_AI)
3. [Task 3: Image Captioning](AI_PROJECTS/3.IMAGE_CAPTIONING)
4. [Task 4: Recommendation System](AI_PROJECTS/4.RECOMMENDATION_SYSTEM)
5. [Task 5: Face Detection and Recognition](AI_PROJECTS/5.FACE_DETECTION_AND_RECOGNITION)
---
## Task 1: Chatbot with Rule-Based Responses
**Objective**: Build a simple chatbot that responds to user inputs based on predefined rules.
### Features
- Utilizes `if-else` statements and pattern matching techniques.
- Identifies user queries and provides appropriate responses.
### Tools and Techniques
- Natural Language Processing basics.
- Python for implementation.
- Regex for pattern matching.
### Learning Outcomes
- Understanding conversation flow and the basics of NLP.
---
## Task 2: Tic-Tac-Toe AI
**Objective**: Implement an AI agent to play Tic-Tac-Toe against a human player.
### Features
- Incorporates the Minimax algorithm with optional Alpha-Beta Pruning.
- Ensures the AI player is unbeatable.
### Tools and Techniques
- Python for implementation.
- Game theory concepts.
- Algorithm optimization.
### Learning Outcomes
- Mastery of game theory principles and basic search algorithms.
---
## Task 3: Image Captioning
**Objective**: Combine computer vision and natural language processing to generate captions for images.
### Features
- Uses pre-trained image recognition models like VGG or ResNet.
- Generates captions using RNN or transformer-based models.
### Tools and Techniques
- TensorFlow/PyTorch for deep learning.
- Pre-trained models for feature extraction.
- Natural Language Generation (NLG).
### Learning Outcomes
- Integration of computer vision and NLP techniques.
---
## Task 4: Recommendation System
**Objective**: Create a system that suggests items to users based on preferences.
### Features
- Implements collaborative filtering and content-based filtering techniques.
- Recommends movies, books, or products.
### Tools and Techniques
- Python for implementation.
- Scikit-learn or Surprise library for recommendation algorithms.
- Data manipulation with Pandas.
### Learning Outcomes
- Understanding of collaborative and content-based filtering methods.
---
## Task 5: Face Detection and Recognition
**Objective**: Develop an AI application to detect and recognize faces in images or videos.
### Features
- Utilizes Haar cascades or deep learning-based face detection models.
- Optionally adds face recognition using Siamese networks or ArcFace.
### Tools and Techniques
- OpenCV for face detection.
- Pre-trained models for enhanced accuracy.
- Python for implementation.
### Learning Outcomes
- Hands-on experience with computer vision and facial recognition techniques.
---
## Acknowledgments
I extend my gratitude to CodSoft for providing this opportunity to deepen my expertise in AI and work on diverse, impactful projects. Each task has enhanced my understanding of AI principles and their practical applications.
## Connect with Me
Feel free to explore this repository and reach out if you have any questions or suggestions:
- [LinkedIn](https://www.linkedin.com/in/akintayo-tolani-650b73242/)
- [Portfolio](https://mainstack.me/devopsforjesus)
- [Hashnode Articles](https://devopsforjesus.hashnode.dev/)
---
Thank you for visiting!