Tools for AI Enthusiasts
* Google Colab: For learning AI/ML coding.
* Kaggle: To practice data science projects.
* Hugging Face: For working with AI models.
* OpenAI API: To integrate AI into apps.
* TensorFlow: To build and deploy AI models.
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Hackathon Alert!

Build the future of GenAI—unleash the power of graph to drive intelligent, adaptive systems on ArangoDB, redefining AI-driven applications and innovation!

Deadline

⌚️ 9 Mar 2025 @ 10:45am GMT+3
📍Online
$29,750 in prizes

Registration details here:
https://arangodbhackathon.devpost.com/

More Hackathon Alerts Here:
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GitHub Student Developer Pack

Link: https://education.github.com/pack

Free Illustration Resources for Designers & Editors

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Tools Every AI Engineer Should Know

1. Data Science Tools
* Python: Preferred language with libraries like NumPy, Pandas, Scikit-learn.
* R: Ideal for statistical analysis and data visualization.
* Jupyter Notebook: Interactive coding environment for Python and R.
* MATLAB: Used for mathematical modeling and algorithm development.
* RapidMiner: Drag-and-drop platform for machine learning workflows.
* KNIME: Open-source analytics platform for data integration and analysis.

2. Machine Learning Tools
* Scikit-learn: Comprehensive library for traditional ML algorithms.
* XGBoost & LightGBM: Specialized tools for gradient boosting.
* TensorFlow: Open-source framework for ML and DL.
* PyTorch: Popular DL framework with a dynamic computation graph.
* H2O.ai: Scalable platform for ML and AutoML.
* Auto-sklearn: AutoML for automating the ML pipeline.

3. Deep Learning Tools
* Keras: User-friendly high-level API for building neural networks.
* PyTorch: Excellent for research and production in DL.
* TensorFlow: Versatile for both research and deployment.
* ONNX: Open format for model interoperability.
* OpenCV: For image processing and computer vision.
* Hugging Face: Focused on natural language processing.

4. Data Engineering Tools
* Apache Hadoop: Framework for distributed storage and processing.
* Apache Spark: Fast cluster-computing framework.
* Kafka: Distributed streaming platform.
* Airflow: Workflow automation tool.
* Fivetran: ETL tool for data integration.
* dbt: Data transformation tool using SQL.

5. Data Visualization Tools
* Tableau: Drag-and-drop BI tool for interactive dashboards.
* Power BI: Microsoft’s BI platform for data analysis and visualization.
* Matplotlib & Seaborn: Python libraries for static and interactive plots.
* Plotly: Interactive plotting library with Dash for web apps.
* D3.js: JavaScript library for creating dynamic web visualizations.

6. Cloud Platforms
* AWS: Services like SageMaker for ML model building.
* Google Cloud Platform (GCP): Tools like BigQuery and AutoML.
* Microsoft Azure: Azure ML Studio for ML workflows.
* IBM Watson: AI platform for custom model development.

7. Version Control and Collaboration Tools
* Git: Version control system.
* GitHub/GitLab: Platforms for code sharing and collaboration.
* Bitbucket: Version control for teams.

8. Other Essential Tools
* Docker: For containerizing applications.
* Kubernetes: Orchestration of containerized applications.
* MLflow: Experiment tracking and deployment.
* Weights & Biases (W&B): Experiment tracking and collaboration.
* Pandas Profiling: Automated data profiling.
* BigQuery/Athena: Serverless data warehousing tools.

Mastering these tools will ensure you are well-equipped to handle various challenges across the AI lifecycle.

#artificialintelligence (https://t.me/airesourcestp)
#machinelearning (https://t.me/mlresourcestp)
#datascience (https://t.me/datascienceresourcestp)

ChatGPT is a MONEY MAKING machine only if you know HOW TO USE IT RIGHT!

Don't become one of those 99% people who do not know anything.

Start earning with these 5 UNIQUE SIDE HUSTLES

Buckle up for this AI PASSIVE INCOME rollercoaster!

Here is the list for you 👇

📌 VIRTUAL STORYTELLING NIGHTS

IDEA - Host virtual storytelling sessions, let ChatGPT do the storytelling, and charge a small entry fee. It's like a virtual bonfire night, with AI as the narrator.

How to get started ?

Here is the STEP BY STEP TUTORIAL -

1. Define the Purpose
2. Craft Your Story Prompt
3. Run the Prompt through ChatGPT
4. Edit and Refine the Story
5. Choose the Right Platform
6. Promote Your Event
7. Host the Event
8. Gather Feedback and Iterate

📌 AI-DRIVEN PERSONALIZED GIFT SERVICES

Use ChatGPT to create unique, custom gifts based on customer inputs. These gifts could include:

- Poems
- Letters
- Short stories etc

The personalized content can then be transformed into a physical/ digital product.

📌 INTERACTIVE E-LEARNING

We have seen the BOOM of Amazon KDP revenues. Authors are earning $10,000 per month.

Why can't you?

Here is idea breakdown -

Craft AI-generated quizzes, interactive learning materials, or even entire textbooks using ChatGPT.
Steps:

1. Identify Your Topic
2. Outline Your Content
3. Craft Your Prompts for ChatGPT
4. Generate Your Content with ChatGPT
5. Edit and Refine
6. Format Your Book
7. Create a Captivating Cover
8. Upload and Publish on Amazon KDP
9. Promote Your Book

📌 AI TOOL TRAINING

Not everyone can use AI the way you can.

Offer workshops and webinars to teach people and businesses how to use tools like ChatGPT for their own purposes.

📌 CHATBOT DEVELOPMENT

ChatGPT can power engaging chatbots for organisations, improving customer contact and automating repetitive chores.

Get into the burgeoning sector of chatbot development, and you've struck gold.

How to get started?

Assuming, you have found your idea and audience for the Chatbot. Here are the next steps:
1. Choose a Platform
2. Design the Conversation Flow
3. Develop Your Chatbot with ChatGPT
4. Implement & Integrate
5. Keep improving with new updates

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1. YouTube Summaries
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ChatGPT Prompt to learn any skill
👇👇
I am seeking to become an expert professional in [Making ChatGPT prompts perfectly]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects: Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years. Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge. Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications. Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications. Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience. Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding. I understand that ChatGPT's responses will be generated based on the information it has been trained on and the knowledge it has up until September 2021. However, I expect the course to be as complete and accurate as possible within these limitations. Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information

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🚨 Google's popular 'Circle to Search' feature, which revolutionized Android in 2024, is now available for iPhone users!📱🔍

What is a Hackathon?

A hackathon is like a fun competition where people come together to create something new using technology. It usually lasts for a short time, like one or two days or a few hours. Here's how it works in simple terms:

1. People Join in Teams or Alone

Anyone interested can join—some come with friends, while others meet new teammates at the event.

2. A Challenge or Theme is Given

The organizers usually give a topic or problem to solve, like "make an app that helps the education."

3. Brainstorming Ideas

Teams think about what they want to build—this could be a website, an app, a game, or even a robot! They quickly decide on the best idea.

4. Building Begins

This is the most exciting part! Everyone starts working on their idea.

Coders write computer programs.

Designers make the app or website look nice.

Other team members help by planning, testing, and presenting.

5. Mentors Help Out

Experts walk around, giving advice and helping when teams get stuck.

6. The Deadline Arrives

Teams must stop working when the time is up (usually 24–48 hours).

7. Presenting the Project

Each team shows what they made. They explain how it works and why it’s useful.

8. Judges Choose Winners

A panel of judges checks each project and picks winners based on creativity, usefulness, and how well it works.

9. Prizes & Celebration

Some hackathons give prizes (money, gadgets, or job offers), but the best part is learning, making new friends, and having fun!


Even if a team doesn’t win, they leave with a cool experience, new skills, and sometimes even an idea they can turn into a real product later.

Hackathon Updates Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Remote Senior Java Engineer Job at CoinMarketCap

Apply Here:
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Remote Data Scientist & Data Engineer Job at CoinMarketCap

Apply Here:
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Remote Product Design & Web Developer Jobs at CoinMarketCap
* Senior Product Designer - AI Products
* Senior Web Developer
* Senior Product Designer - On-chain data
* Senior Product Manager - On-chain Data
* Senior Product Manager - AI Products
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Remote Blockchain Developer Jobs at CoinMarketCap
* Design and implement the backend logic of decentralized applications (dApps)
* Develop, test, and deploy smart contracts
* Master one or more languages of Golang, Java and NodeJS for several years
* Familiar with common DB (Mysql, postgreSQL, Redis, mongodb)
Apply Here:
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60 AI tools to finish hours of work in minutes:

1. Productivity
- AI Research Assistant: otio.ai
- DeepSeek R1
- HeyGen
- BetterPic

2. Coding
- Replit
- Cursor
- Claude
- o3-mini-high

3. Social Media Management
- Tapilo
- Typefully
- TweetHunter
- Postwise
- Grok

4. Text-to-Image
- Grok
- Flux
- Midjourney
- Microsoft Copilot

5. Copywriting
- Copy AI
- Writesonic
- Adcopy AI
- Jasper AI

6. Website
- Dora
- 10Web
- Durable
- Landingsite

7. Meeting
- Tldv
- Otter
- Noty AI
- Fireflies

8. Resume
- Kickresume
- Resume AI
- Resume Checker
- Careerflow

9. Image to video
- Veo 2
- Kling AI
- Luma dream machine
- Sora

10. Writing
- Jasper
- HIX AI
- Textblaze
- Quillbot
- Grammarly

11. Prompt
- Snack Prompt
- CustomGPT
- PromptBox
- SiteGPT

12. UI/UX
- Figma
- Uizard
- UiMagic
- Photoshop

13. Design
- Canva
- Flair AI
- Designify
- Autodraw
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14. Logo Generator
- Namelix
- Designs AI
- Brandmark
- Stockimg AI

15. Audio
- Lovo AI
- Eleven Labs
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- Adobe Podcast
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Ethical Hacking Post-Exploitation

Language : English

Size: 538MB

Download Link:
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