Building with AI Using JavaScript
June 5, 2023 by
Kee
This is Not A Guide
I have no idea how to create an AI-powered app using JavaScript.
I know I should but I don't and for the last few months I have been
using Chatgpt to do stuff but most interesting is I've been learning
by doing. I get obsessed and think about it, over analyzing. I got
obsessed with prompts and knowing what to ask first and spent a lot
of time on that. I finally, learning about roles and how you can do
some interesting things to save time. I think I'm ready to build but
when I get down to work I like to do it in big long sprints. My goal
is to build:
- Chatbot
- Recommendation Engine
- Fraud and Anomaly Detection
- Smart Home Automation
- Personalized E - learning Courses
I also want a system, a collection of interconnected parts or components
that work together to achieve a specific goal or function by taking inputs,
performing processes, and producing outputs in 28-30 days.
June 1st - July 8th. . NOW a simplified timeline, and actual development
times vary depending on the complexity and technologies involved:
Phase 1: Planning and Setup Week 1 (June 1 - June 7)
Day 1: Define the purpose and target audience of the tool.
Day 2: Choose the framework or platform for development (e.g., Discord.js,
Tensorflow, chatgpt, slack, trello ,youtube, google, amazon, etc.).
Day 3: Design the conversational flows and outline the main features.
Day 4-5: Set up the development environment and install necessary tools.
Day 6-7: Research and gather relevant resources, tutorials, and sample code.
Phase 2: Development Week 2-3 (June 8 - June 21)
Day 8-9: Implement the basic bot functionality, such as connecting to Discord and
receiving messages.
Day 10-11: Integrate a natural language understanding (NLU) library or service for
processing user input.
Day 12-13: Develop the core conversational logic and response generation based on
the defined conversational flows.
Day 14-15: Test the bot's functionality and make necessary refinements.
Phase 3: Enhancements and Testing Limited Preview Week 4 (June 22 - June 28)
Day 16-17: Add additional features and functionalities, such as handling user commands
or retrieving external data.
Day 18-19: Test the chatbot extensively, simulate various user scenarios, and refine the
responses.
Day 20-21: Perform user acceptance testing (UAT) to gather feedback and make necessary
improvements.
Phase 4: Deployment and Refinement Preview Week 5 (June 29 - July 5)
Day 22: Deploy the chatbot to Discord and test its integration in a live environment.
Day 23-24: Monitor the chatbot's performance, gather user feedback, and address any
reported issues.
Day 25-26: Make necessary refinements based on user feedback and usage patterns.
Phase 5: Finalization and Documentation (2 days)
General Release Day 27-28 (July 6 - July 7)
Day 27: Conduct final testing and quality assurance (QA) checks.
Day 28: Prepare documentation, including setup instructions, usage guidelines,
and any necessary documentation for future maintenance.
Please note this timeline assumes a focused and efficient
development process with no drama. I also had to adjust the timeline
according to specific marketing campaign circumstances and available
time. It's also important to allocate time for learning and research
if you're new to development but I like to live dangerously. I have
so experience and whatnot.
New Game Releases
June 3, 2023 by
Kee
What I'm playing and Obsessed with:
- Minecraft
- Death Stranding
Another month with nothing to get excited about this month. No
games made me excited.
So, I'm just going to keep playing Minecraft and Death Stranding.
Each of these games offers an escape from work.
I typically delve into Minecraft and
Death Stranding, when I have some time and want to take a break from
working.
Minecraft
I am unleashing my creativity and want to build a new fantasy world
with my new building skills in my craft zone. My village build has to take
the world by storm with its pixelated fantasy charm and limitless possibilities.
It has to be filled with magnificent structures and exciting adventures.
Build:
- My Minecraft Fantasy Village
- Church
|
- Library
|
- Weapon Smith
|
- Cartographer
|
- Tool Smith
|
- Armorer
|
- Tannery
|
- Fletcher
|
- Shepherd
|
- Fisher
|
- Butcher
|
- Mason
|
- Farmer
|
|
- Farms
|
- Meeting Point
|
- Pens and Lamps
|
|
- Small House
|
- Medium House
|
- Big House
|
- Stables
|
- Mall
- Hotel
- Mansion
- Rail System
- Storage System
Death Stranding
An Epic Journey of Connection and Survival Death
Stranding, an unconventional and thought-provoking game, invites
players to embark on an epic journey in a post-apocalyptic world.
It combines exploration, stealth, and survival mechanics with a
profound narrative, creating a unique and immersive experience.
This is why Death Stranding is the only game I have 100% of the
trophies and still can't stop playing for too long without having
withdrawal symptoms.
Rewards and Challenges:
- Sense of Exploration:
Death Stranding's vast and desolate landscapes provide a sense
of awe-inspiring beauty. Discovering breathtaking vistas, hidden
locations, and uncovering the mysteries of the world offer a
rewarding sense of exploration.
- Player Progression:
As players progress through the game, they unlock new abilities,
equipment, and resources. The sense of growth and empowerment
obtained from upgrading their arsenal and expanding their
capabilities rewards players for their perseverance.
- Hazardous Terrain:
Traversing treacherous landscapes filled with dangerous terrain,
unpredictable weather, and hostile creatures presents a constant
challenge. Create and carefully plan their routes and utilize
various tools and strategies to ensure no damage.
- Balance of Cargo:
Death Stranding emphasizes
the delicate task of delivering essential cargo across vast
distances while maintaining balance and stability. Navigating
uneven terrain and overcoming obstacles
without compromising the integrity of the cargo.
- Connectivity:
The game's unique multiplayer aspect allows players to connect
and assist one another indirectly, but it also presents challenges
in managing resources, coordinating efforts, and working together
to overcome obstacles in a vast and desolate world. Update Bridge Links!!!
Minecraft and Death Stranding offer distinctive rewards and challenges
that make them my favorite games. Creativity and sense of accomplishment in
or the emotional resonance and epic journey of connection,
these games never get old for players willing to dive
into. So, grab your pickaxe or your cargo and
embark on my adventures this summer!
June 2023
SOURCES:
https://www.gamesradar.com/video-game-release-dates
- Gunfire Reborn [PS5, PS4] – June 1
- Killer Frequency [PC, PS5, XSX, PS4, XBO, Switch, Quest 2] – June 1
- Diablo 4 Early Access [PC, PS5, XSX, PS4, XBO] – June 2
- Kuroi Tsubasa [PS5, XSX, PS4, XBO, Switch] – June 2
- Street Fighter 6 [PC, PS5, XSX, PS4] – June 2
- We Love Katamari Reroll + Royal Reverie [PC, PS5, XSX, PS4, XBO, Switch] – June 2
- Tiny Thor [PC] – June 5
- Amnesia: The Bunker [PC, PS5, XSX, PS4, XBO] – June 6
- Diablo 4 [PC, PS5, XSX, PS4, XBO] – June 6
- Loop8: Summer of Gods [PC, PS4, XBO, Switch] – June 6
- QUANTAAR [PC VR, Quest 2] – June 7
- Toodee And Topdee [PS5, XSX, PS4, XBO] – June 7
- Harmony: The Fall of Reverie [PC, PS5, XSX, Switch] – June 8
- Mask of the Rose [PC, Switch] – June 8
- Pro Cycling Manager 2023 [PC] – June 8
- Speed Crew [Switch] – June 8
- Tour de France 2023 [PC, PS5, XSX, PS4, XBO] – June 8
- Greyhill Incident [PC, PS5, PS4] – June 9
- Black Desert Online: Land of the Morning Light expansion [PC] – June 14
- DUBIUM [PC] – June 14
- WWE 2K23: Race to NXT Pack DLC [PC, PS5, XSX, PS4, XBO] – June 14
- Fall of Porcupine [PC, PS5, XSX, PS4, XBO, Switch] – June 15
- Layers of Fear [PC, PS5, XSX] – June 15
- Park Beyond [PC, PS5, XSX] – June 16
- Aliens: Dark Descent [PC, PS5, XSX, PS4, XBO] – June 20
- Crash Team Rumble [PS5, XSX, PS4, XBO] – June 20
- Trepang2 [PC] – June 21
- Final Fantasy 16 [PS5] – June 22 (Final Fantasy 16 pre-order)
- Harmony: The Fall of Reverie [PS5, XSX] – June 22
- C-Smash VRS [PSVR 2] – June 23
- Destroy All Humans! 2 - Reprobed Single Player Edition [PS4, XBO] – June 27
- Little Friends: Puppy Island [PC, Switch] – June 27
- Soulvars [PC, PS5, XSX, PS4, XBO, Switch] – June 27
- Story of Seasons: A Wonderful Life [PC, PS5, XSX, Switch] – June 27
- Revival: Recolonization [PC] – June 28
- AEW Fight Forever [PC, PS5, XSX, PS4, XBO, Switch] – June 29
- Crime O'Clock [PC, Switch] – June 30
- Master Detective Archives: Rain Code [Switch] – June 30
- Samba de Amigo: Party Central [Switch] – June 30
- A Little to the Left: Cupboards & Drawers DLC [PC, Switch] – June TBC
- Cricket 24 [PS5, XSX, PS4, XBO] – June TBC
- Crime Boss: Rockay City [PS5, XSX] – June TBC
JavaScript, AI, and Application Projects
June 6, 2023 by
Kee
My Roadmap
Here's my roadmap to combines learning resources with practical project development:
JavaScript and AI Learning Roadmap with Application Projects
Phase 1: JavaScript Fundamentals
- Get Started with JavaScript
- Master JavaScript Basics and DOM Manipulation
- Explore JavaScript Frameworks (Choose one: React, Angular, or Vue)
- Build a Single-Page Application (SPA) using the chosen JavaScript framework
- Project: Develop a simple SPA with interactive features and data fetching
- Dive Deeper into Advanced JavaScript Concepts
Phase 2: AI Development Fundamentals
- Introduction to Artificial Intelligence
- Explore Machine Learning Fundamentals
- Deep Learning Basics
- Natural Language Processing (NLP)
- Computer Vision and Image Recognition
- Reinforcement Learning
Phase 3: Application Projects
- Choose an AI Application Project
- Plan and Design your AI Application Project
- Develop your AI Application Project
- Test, Refine, and Improve your AI Application
- Deploy and Showcase your AI Application
AI: The #100DaysOfAI challenge
May 12, 2023 by
Kee
This challenge will focus specifically on developing skills and knowledge
in the field of artificial intelligence. Here's how you can structure the
challenge:
Commitment:
Declare your commitment to the #100DaysOfAI challenge. Clearly state your
intention to dedicate at least one hour every day for 100 consecutive days
to learning and practicing artificial intelligence.
Learning Resources:
Identify a variety of learning resources to support your #100DaysOfAI journey.
This may include online courses, tutorials, books, research papers, YouTube
channels, or podcasts related to artificial intelligence, machine learning,
deep learning, and other AI subfields. Compile a list of resources that align
with your learning goals and interests.
Topics and Projects:
Define the topics and projects you wish to explore during the challenge. It
could be natural language processing, computer vision, reinforcement learning,
neural networks, or any other area of AI that captures your curiosity. Consider
working on practical projects, such as building AI models, implementing algorithms,
or solving real-world problems using AI techniques.
Daily Progress:
Every day, allocate a dedicated time slot for studying and practicing AI.
Engage in activities like reading, watching instructional videos, coding,
experimenting with AI frameworks and libraries, or working on AI-related
projects. Document your daily progress, insights, and achievements, sharing
them on social media platforms using the hashtag #100DaysOfAI.
Accountability and Community:
Connect with like-minded individuals who are also participating in the
#100DaysOfAI challenge. Join online forums, AI communities, or social
media groups where you can share your progress, ask questions, and engage
in discussions. Encourage and support fellow participants on their AI
journey, and seek advice or feedback when needed.
Reflection and Documentation:
Periodically reflect on your progress and lessons learned throughout the
challenge. Write blog posts, create videos, or maintain a personal journal
to document your experiences, insights, and any challenges faced. Share your
reflections with the community to inspire and motivate others embarking on the
#100DaysOfAI challenge.
Completion and Beyond:
Upon completing the #100DaysOfAI challenge, celebrate your accomplishment!
Reflect on how the challenge has impacted your understanding of AI, the skills
you've developed, and the projects you've completed. Consider setting new goals
to further advance your AI knowledge or apply your newfound skills to real-world
applications.
The Roadmap
Here's a roadmap to guide you through the #100DaysOfAI challenge:
Day 1-5: Foundation and Basics
- Spend time understanding the fundamentals of artificial intelligence,
machine learning, and deep learning.
- Familiarize yourself with key concepts like data preprocessing, model
training, evaluation metrics, and optimization algorithms.
- Start learning a popular programming language for AI development, such
as Python, and explore libraries like TensorFlow or PyTorch.
Day 6-15: Exploring Machine Learning
- Dive deeper into machine learning algorithms, such as linear regression,
logistic regression, decision trees, and support vector machines.
- Experiment with supervised and unsupervised learning techniques.
- Work on small projects applying these algorithms to real-world datasets.
Day 16-25: Deep Learning and Neural Networks
- Focus on understanding neural networks and deep learning architectures
like convolutional neural networks (CNNs), recurrent neural networks (RNNs),
and generative adversarial networks (GANs).
- Implement and train basic neural networks using popular frameworks like
TensorFlow or PyTorch.
- Explore pre-trained models and transfer learning for specific tasks like
image classification or natural language processing.
Day 26-35: Natural Language Processing (NLP)
- Learn about NLP techniques such as text preprocessing, sentiment analysis,
named entity recognition, and text generation.
- Get hands-on experience with libraries like NLTK (Natural Language Toolkit)
or spaCy.
- Build NLP models like language classifiers or text summarizers using recurrent
neural networks or transformer architectures.
Day 36-45: Computer Vision
- Study computer vision concepts like image classification, object detection,
image segmentation, and image generation.
- Experiment with popular computer vision frameworks such as OpenCV or TensorFlow.
- Create projects involving tasks like image recognition, object tracking, or
facial recognition.
Day 46-55: Reinforcement Learning
- Explore the fundamentals of reinforcement learning and understand concepts
like Markov Decision Processes (MDPs), Q-learning, and policy gradients.
- Implement reinforcement learning algorithms in environments like OpenAI
Gym or Unity ML-Agents.
- Develop simple agents that can solve tasks like game playing or control
problems.
Day 56-65: Advanced Topics and Specializations
- Choose an advanced topic or specialization within AI that interests you, such
as natural language generation, image synthesis, or anomaly detection.
- Deepen your understanding and explore research papers and cutting-edge
techniques related to your chosen topic.
- Implement projects or experiments in your chosen area to gain hands-on
experience.
Day 66-75: Project Development
- Devote time to work on a larger AI project that aligns with your interests
and goals.
- Identify a problem to solve or a task to automate using AI techniques.
- Plan, design, and implement a comprehensive solution, iterating and refining
as you progress.
Day 76-85: Optimization and Performance Tuning
- Learn about optimization techniques to improve the performance of AI models.
- Explore strategies like hyperparameter tuning, regularization, early stopping,
and model compression.
- Experiment with different optimization algorithms to fine-tune your models.
Day 86-95: Ethical and Responsible AI
- Familiarize yourself with ethical considerations and challenges in AI development.
- Learn about bias, fairness, transparency, and accountability in AI systems.
- Reflect on the implications of AI in society and explore ways to promote responsible
AI practices.
Day 96-100: Reflection and Showcase
- Reflect on your #100DaysOfAI journey, documenting your progress, achievements,
and lessons learned.
- Showcase your projects, share your insights, and seek feedback from the AI
community.
- Celebrate your completion of the challenge and set new goals for your AI
journey beyond the 100 days.
Remember, this roadmap is just a starting point, and you can tailor it to
your specific interests and learning pace. Stay consistent, engage with the AI
community, and enjoy the process of continuous learning and growth throughout
the #100DaysOfAI challenge! The key to success is consistency, dedication, and
an eagerness to learn and grow. Embrace the challenge, push your boundaries,
and enjoy the exciting journey of exploring the vast field of artificial
intelligence!
SOURCE:
https://chat.openai.com/chat
In-Demand Skills: Virtual Reality, AI, and JavaScript
May 10, 2023 by
Kee
Certain skills are in high demand, opening up exciting career opportunities
for those willing to embrace them. So what are the most sought-after skills
in Virtual Reality (VR), Artificial Intelligence (AI), and JavaScript. I'll
provide you with valuable resources and links to help you embark on a
learning journey that will set you on a path to success.
- Virtual Reality (VR): Virtual Reality is transforming industries
such as gaming, entertainment, healthcare, and education. To master
VR, start with the following skills:
- 3D Modeling: Understanding 3D modeling is essential for creating
immersive virtual environments.
Blender
and
Autodesk Maya are
popular tools for 3D modeling.
- Unity: Unity
is a powerful game development
engine widely used in VR development. The Unity Learn platform offers
tutorials, courses, and documentation to get you started.
- Unreal Engine:
Unreal Engine is
another leading game development engine with robust VR capabilities.
Unreal Engine's learning resources provide
comprehensive guidance.
- VR SDKs: Familiarize yourself with VR Software Development Kits
(SDKs) like
Oculus,
HTC Vive,
and
Google VR. These SDKs offer documentation,
tutorials, and sample projects to help you build VR experiences.
- Artificial Intelligence (AI): AI is revolutionizing industries
with applications like natural language processing, computer vision,
and predictive analytics. To dive into AI, focus on the following
skills:
- Machine Learning: Start with the basics of machine learning,
including algorithms, data preprocessing, and model evaluation.
Resources like Andrew Ng's
Coursera course and the
TensorFlow website can
provide a solid foundation.
- Deep Learning: Deep learning is a subset of machine learning that
focuses on neural networks. Explore resources like the Deep Learning
Specialization on
Coursera
or the Deep Learning course by
fast.ai
to gain expertise in this field.
- Python: Python is widely used in AI development. Enhance your Python
skills and explore popular libraries like
TensorFlow,
PyTorch, and
scikit-learn
for AI-related tasks.
- AI Frameworks: Gain hands-on experience with AI frameworks like
TensorFlow, Keras, and
PyTorch. These frameworks offer extensive documentation, tutorials, and
examples to help you build AI models.
- JavaScript: JavaScript is the backbone of web development, and its
versatility makes it essential for building modern applications. To
excel in JavaScript, focus on the following skills:
- ES6 and Modern JavaScript: Master the latest features and syntax of
ES6 (ECMAScript 2015) and explore modern JavaScript concepts like
asynchronous programming, arrow functions, and modules.
- Frameworks and Libraries: Get hands-on experience with popular
JavaScript frameworks and libraries such as
React,
Angular , and
Vue.js. Their
official documentation provides tutorials and guides
to get you started.
- Node.js: Dive into server-side JavaScript with
Node.js.
Learn about building server applications, APIs, and leveraging the vast
ecosystem of npm packages.
- Full-Stack Development: Expand your skills by learning full-stack
development, combining JavaScript with backend technologies like
Express.js or
database systems like
MongoDB.
Additional Learning Resources: Here are some online platforms and
communities where you can find additional resources, courses, and support:
Embracing the most in-demand skills related to Virtual Reality,
Artificial Intelligence, and JavaScript can unlock a world of
opportunities for your career. By leveraging the resources and links
provided, you can start your learning journey and become proficient in
these sought-after technologies. Stay committed, practice regularly,
and engage with the vibrant tech community to solidify your skills and
thrive in the ever-evolving tech landscape.