Artificial Intelligence & ChatGPT Prompts
前往频道在 Telegram
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data
显示更多
网络:📈 Telegram 频道 Artificial Intelligence & ChatGPT Prompts 的分析概览
频道 Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 42 275 名订阅者，在 技术与应用 类别中位列第 3 102，并在 印度 地区排名第 9 148 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 42 275 名订阅者。
根据 25 八月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 95，过去 24 小时变化为 -2，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 1.51%。内容发布后 24 小时内通常能获得 0.68% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 640 次浏览，首日通常累积 289 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 主题关注点： 内容集中在 learning, algorithm, detection, llm, pattern 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“🔓Unlock Your Coding Potential with ChatGPT
🚀 Your Ultimate Guide to Ace Coding Interviews!
💻 Coding tips, practice questions, and expert advice to land your dream tech job.
For Promotions: @love_data”
凭借高频更新（最新数据采集于 26 八月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
42 275
订阅者
-224 小时
-347 天
+9530 天
数据加载中...
相似频道
标签云
进出提及
---
---
---
---
---
---
吸引订阅者
八月 '26
八月 '26
+182
在0个频道中
七月 '26
+273
在1个频道中
Get PRO
六月 '26
+210
在0个频道中
Get PRO
五月 '26
+362
在1个频道中
Get PRO
四月 '26
+184
在0个频道中
Get PRO
三月 '26
+119
在0个频道中
Get PRO
二月 '26
+422
在1个频道中
Get PRO
一月 '26
+597
在1个频道中
Get PRO
十二月 '25
+579
在0个频道中
Get PRO
十一月 '25
+679
在1个频道中
Get PRO
十月 '25
+688
在2个频道中
Get PRO
九月 '25
+427
在0个频道中
Get PRO
八月 '25
+536
在3个频道中
Get PRO
七月 '25
+620
在2个频道中
Get PRO
六月 '25
+1 106
在4个频道中
Get PRO
五月 '25
+2 255
在4个频道中
Get PRO
四月 '25
+3 437
在2个频道中
Get PRO
三月 '25
+975
在4个频道中
Get PRO
二月 '25
+631
在7个频道中
Get PRO
一月 '25
+522
在3个频道中
Get PRO
十二月 '24
+274
在0个频道中
Get PRO
十一月 '24
+692
在3个频道中
Get PRO
十月 '24
+989
在0个频道中
Get PRO
九月 '24
+1 757
在1个频道中
Get PRO
八月 '24
+2 074
在1个频道中
Get PRO
七月 '24
+2 844
在3个频道中
Get PRO
六月 '24
+2 467
在2个频道中
Get PRO
五月 '24
+2 070
在5个频道中
Get PRO
四月 '24
+1 948
在3个频道中
Get PRO
三月 '24
+2 755
在2个频道中
Get PRO
二月 '24
+3 503
在1个频道中
Get PRO
一月 '24
+3 236
在3个频道中
Get PRO
十二月 '23
+2 129
在2个频道中
Get PRO
十一月 '23
+682
在6个频道中
Get PRO
十月 '23
+697
在0个频道中
Get PRO
九月 '23
+636
在0个频道中
Get PRO
八月 '23
+3 531
在0个频道中
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 26 八月 | +5 | |||
| 25 八月 | +1 | |||
| 24 八月 | 0 | |||
| 23 八月 | +3 | |||
| 22 八月 | 0 | |||
| 21 八月 | +8 | |||
| 20 八月 | +2 | |||
| 19 八月 | +7 | |||
| 18 八月 | +13 | |||
| 17 八月 | +11 | |||
| 16 八月 | +8 | |||
| 15 八月 | +4 | |||
| 14 八月 | +6 | |||
| 13 八月 | +14 | |||
| 12 八月 | +2 | |||
| 11 八月 | +5 | |||
| 10 八月 | +17 | |||
| 09 八月 | +7 | |||
| 08 八月 | 0 | |||
| 07 八月 | +3 | |||
| 06 八月 | +7 | |||
| 05 八月 | +17 | |||
| 04 八月 | +12 | |||
| 03 八月 | +30 | |||
| 02 八月 | 0 | |||
| 01 八月 | 0 |
频道帖子
🎓 𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
Boost your skills with 100% FREE certification courses from Accenture!
📚 FREE Courses Offered:
1️⃣ Data Processing and Visualization
2️⃣ Exploratory Data Analysis
3️⃣ SQL Fundamentals
4️⃣ Python Basics
5️⃣ Acquiring Data
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4yJKnBy
✅ Learn Online | 📜 Get Certified
| 2 |  𝗙𝗥𝗘𝗘 𝗚𝗲𝗻𝗔𝗜 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀😍
Learn how to use 25+ powerful AI tools to automate your work, create professional content and save hours every week!
🎯 Perfect For:-
Freelancers • Working Professionals • Business Owners • Self-Employed Individuals
💡 No technical knowledge or prior experience required!
🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlinks.in/ai
⚡ Start using AI smarter—limited slots available! | 202 |
| 3 |  🚀 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲! 📊
Here’s a great chance to learn valuable skills and earn a FREE Certificate 🎓
✅ Beginner-friendly
✅ Learn Data Analytics skills
✅ Free certification
✅ Boost your resume & LinkedIn profile
✅ Great for students & job seekers
𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4qn5q94
📌 Start learning today & upgrade your career! | 357 |
| 4 | 🔥 AI Project Ideas 🔥
🎯 Image Caption Generator
🎯 AI Chatbot w/ Intent Detection
🎯 Fake News Detector (NLP)
🎯 Voice Emotion Recognition
🎯 Resume Screener (NLP)
🎯 Movie Recommender
🎯 Digit Recognition (MNIST)
🎯 AI Personal Assistant
🎯 Face Mask Detector
🎯 Text Summarizer (Transformer)
🎯 AI Resume Builder
✨ Double Tap ♥️ for more AI tools, resources & ideas! 🤖⚡ | 470 |
| 5 |  𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁—𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜😍
Curriculum designed and taught by alumni from IITs & leading tech companies.
🏆 Placement Highlights:-
💰 ₹41 LPA highest salary
📈 ₹7.4 LPA average salary
🎓 2,000+ students placed
🏢 500+ partner companies
🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:-
https://pdlink.in/3SuUeuD
⚡ Take the first step toward your dream tech career today! | 538 |
| 6 |  🚀 𝗪𝗶𝗽𝗿𝗼 𝗘𝗹𝗶𝘁𝗲 𝗡𝗧𝗛 & 𝗧𝘂𝗿𝗯𝗼 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗞𝗶𝘁 💻🔥
Get access to a FREE interview preparation kit and prepare smarter for your upcoming assessment & interview rounds.
📚 Prepare For:-
✅ Technical Interview Questions
✅ Software Engineer Interview Rounds
✅ Interview Preparation Resources
🎯 Perfect for Students | Freshers | Engineering Graduates | Wipro Aspirants
🔗 𝗚𝗲𝘁 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗞𝗶𝘁 👇:-
https://pdlink.in/4zh9E6g
🔥 Start preparing early and improve your chances of cracking the Wipro hiring process! | 572 |
| 7 | Don't overwhelm to learn JavaScript, JavaScript is only this much
1.Variables
• var
• let
• const
2. Data Types
• number
• string
• boolean
• null
• undefined
• symbol
3.Declaring variables
• var
• let
• const
4.Expressions
Primary expressions
• this
• Literals
• []
• {}
• function
• class
• function*
• async function
• async function*
• /ab+c/i
• string
• ( )
Left-hand-side expressions
• Property accessors
• ?.
• new
• new .target
• import.meta
• super
• import()
5.operators
• Arithmetic Operators: +, -, *, /, %
• Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
• Logical Operators: &&, ||, !
6.Control Structures
• if
• else if
• else
• switch
• case
• default
7.Iterations/Loop
• do...while
• for
• for...in
• for...of
• for await...of
• while
8.Functions
• Arrow Functions
• Default parameters
• Rest parameters
• arguments
• Method definitions
• getter
• setter
9.Objects and Arrays
• Object Literal: { key: value }
• Array Literal: [element1, element2, ...]
• Object Methods and Properties
• Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()
10.Classes and Prototypes
• Class Declaration
• Constructor Functions
• Prototypal Inheritance
• extends keyword
• super keyword
• Private class features
• Public class fields
• static
• Static initialization blocks
11.Error Handling
• try,
• catch,
• finally (exception handling)
ADVANCED CONCEPTS
12.Closures
• Lexical Scope
• Function Scope
• Closure Use Cases
13.Asynchronous JavaScript
• Callback Functions
• Promises
• async/await Syntax
• Fetch API
• XMLHttpRequest
14.Modules
• import and export Statements (ES6 Modules)
• CommonJS Modules (require, module.exports)
15.Event Handling
• Event Listeners
• Event Object
• Bubbling and Capturing
16.DOM Manipulation
• Selecting DOM Elements
• Modifying Element Properties
• Creating and Appending Elements
17.Regular Expressions
• Pattern Matching
• RegExp Methods: test(), exec(), match(), replace()
18.Browser APIs
• localStorage and sessionStorage
• navigator Object
• Geolocation API
• Canvas API
19.Web APIs
• setTimeout(), setInterval()
• XMLHttpRequest
• Fetch API
• WebSockets
20.Functional Programming
• Higher-Order Functions
• map(), reduce(), filter()
• Pure Functions and Immutability
21.Promises and Asynchronous Patterns
• Promise Chaining
• Error Handling with Promises
• Async/Await
22.ES6+ Features
• Template Literals
• Destructuring Assignment
• Rest and Spread Operators
• Arrow Functions
• Classes and Inheritance
• Default Parameters
• let, const Block Scoping
23.Browser Object Model (BOM)
• window Object
• history Object
• location Object
• navigator Object
24.Node.js Specific Concepts
• require()
• Node.js Modules (module.exports)
• File System Module (fs)
• npm (Node Package Manager)
25.Testing Frameworks
• Jasmine
• Mocha
• Jest | 460 |
| 8 |  🚀 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲
🔥 Upgrade your skills and prepare for exciting career opportunities in AI!
✅ Beginner-friendly course
✅ Learn AI & Machine Learning fundamentals
✅ Gain practical, job-ready skills
✅ Earn a FREE certificate
✅ Boost your resume and LinkedIn profile
✅ Ideal for students, freshers and professionals
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4zrkYNg
⚡ Limited opportunity—start learning today! | 437 |
| 9 |  ☁️ 𝟰 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗕𝘂𝗶𝗹𝗱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
Explore these Google Cloud learning resources covering cloud fundamentals, infrastructure, networking, security, data and AI/ML.
🔥 4 Courses to Explore:
1️⃣ Cloud Computing Fundamentals
2️⃣ Infrastructure in Google Cloud
3️⃣ Networking & Security in Google Cloud
4️⃣ Data, ML & AI in Google Cloud
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/4zrksPn
🎯 Perfect for Students | Freshers | Developers | Cloud & DevOps Aspirants | 545 |
| 10 | Instead of relying only on what an LLM learned during training, RAG retrieves relevant information from an external knowledge source and provides it as context to the model.
User Question
↓
Retrieve Relevant Data
↓
Provide Context to LLM
↓
Generate Answer
📌 14. What are AI Agents?
AI agents are systems that can reason, plan, use tools, and take actions to accomplish a goal.
For example, an AI agent could:
Understand Goal
↓
Plan Steps
↓
Use Tools
↓
Execute Actions
↓
Evaluate Result
📌 15. What is Generative AI?
Generative AI creates new content based on learned patterns.
It can generate:
• Text
• Images
• Audio
• Video
• Code
📌 16. What are AI Hallucinations?
An AI hallucination occurs when an AI system generates information that appears plausible but is incorrect, unsupported, or fabricated.
This is why AI outputs should be verified, especially for important decisions.
📌 17. What is AI Bias?
AI bias occurs when an AI system produces systematically unfair or skewed results.
Bias can come from:
Training data
Data collection
Feature selection
Model design
Human decisions
📌 18. What is Explainable AI?
Explainable AI (XAI) focuses on making AI decisions understandable to humans.
This is especially important in areas such as:
• Banking
• Healthcare
• Insurance
• Hiring
• Government
📌 19. What is MLOps?
MLOps applies engineering and operational practices to the Machine Learning lifecycle.
It covers:
Model development
Deployment
Versioning
Monitoring
Retraining
Governance
📌 20. What is Responsible AI?
Responsible AI means developing and using AI in a way that considers:
• Fairness
• Privacy
• Security
• Transparency
• Accountability
• Safety
• Human oversight
DOUBLE TAP ❤️ For More
-----
2.23 ₽ · /balance_help | 515 |
| 11 | 🤖 AI Fundamentals You Should Know
AI is becoming an important skill across almost every industry. You don't need to become an AI researcher to understand it, but you should know the fundamentals.
📌 1. What is Artificial Intelligence?
AI is the field of creating systems that can perform tasks that typically require human intelligence.
Examples:
Understanding language
Recognizing images
Making predictions
Solving problems
Making decisions
📌 2. AI vs Machine Learning vs Deep Learning
Think of them as levels:
Artificial Intelligence
↓
Machine Learning
↓
Deep Learning
AI → Broad field of intelligent systems
ML → Systems learn patterns from data
DL → ML using multi-layer neural networks
📌 3. Types of Machine Learning
Everyone working with AI should know:
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
The key difference is how the model learns.
📌 4. What is Training?
Training is the process of teaching a model using data.
The model identifies patterns in the training data and adjusts its parameters to improve its predictions.
📌 5. What is Inference?
Inference happens when a trained model receives new data and produces a prediction or output.
Training → Learn
Inference → Predict
📌 6. What is a Dataset?
A dataset is a collection of data used to train, validate, or test an AI model.
It can contain:
• Features
• Labels
• Numerical data
• Categorical data
• Text
• Images
• Audio
• Video
📌 7. What are Features and Labels?
Features are the inputs used by a model.
Label/Target is what the model is trying to predict.
Example:
Age + Income + Credit Score
↓
Loan Approval
The first three are features, while loan approval is the target.
📌 8. What is Overfitting?
Overfitting occurs when a model learns the training data too closely, including noise, and performs poorly on new data.
Too simple → Underfitting
Good balance → Generalization
Too complex → Overfitting
📌 9. What is a Neural Network?
A neural network is a computational model made up of interconnected nodes called neurons.
It typically contains:
Input Layer
↓
Hidden Layers
↓
Output Layer
Neural networks are the foundation of many modern AI systems.
📌 10. What are Transformers?
Transformers are a neural network architecture that uses attention mechanisms to process relationships between elements in data.
They power many modern AI systems, especially:
• LLMs
• Translation systems
• Text generation
• Multimodal AI
📌 11. What is an LLM?
A Large Language Model (LLM) is a model trained on large amounts of text to understand and generate language.
LLMs can perform tasks such as:
Question answering
Summarization
Translation
Coding
Content generation
📌 12. What are Embeddings?
Embeddings convert information such as text into numerical vectors that capture semantic relationships.
Similar concepts tend to have similar vector representations.
They are widely used in:
Semantic search
RAG
Recommendation systems
Clustering
📌 13. What is RAG?
RAG stands for Retrieval-Augmented Generation. | 406 |
| 12 |  𝗪𝗢𝗥𝗞 𝗙𝗥𝗢𝗠 𝗛𝗢𝗠𝗘 𝗝𝗢𝗕 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 😍
Company Name :- AI InsurTech Company
💼 𝗥𝗼𝗹𝗲: Backend Developer
💰 𝗦𝗮𝗹𝗮𝗿𝘆: ₹5 LPA
🏠 𝗪𝗼𝗿𝗸 𝗠𝗼𝗱𝗲: Work From Home
📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Hyderabad / Remote
🎓 𝗪𝗵𝗼 𝗖𝗮𝗻 𝗔𝗽𝗽𝗹𝘆?
✅ BTech/BE graduates
✅ Branches: CS, IT, AI, ML and Data-related streams
✅ Graduation Years: 2025 and 2026
🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:-
https://pdlink.in/4xIfsE4
⚡ Apply early and share this opportunity with your friends! | 470 |
| 13 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Kickstart Your Data Science Career
💫Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4xOh5jA
(Only few slots left )
Date & Time :- 21st August 2026 & 7PM | 522 |
| 14 |  🎓 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 🚀
Want to build job-ready skills and strengthen your resume? Start learning these in-demand technologies for FREE! 🔥
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4qn5q94
💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
🛡️ 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 :- https://pdlink.in/4xMJNl5
🔁 𝗦𝗵𝗮𝗿𝗲 this with your friends and classmates! | 589 |
| 15 |  📊 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗣𝗿𝗼 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀? 🚀
Learning Excel, SQL and Power BI is only the beginning. To stand out as a Data Analyst, focus on practical experience, visibility and networking.
🔥 4 Ways to Level Up Your Data Analytics Career:
💡 Master the Skills → Build Projects → Create Your Portfolio → Get Noticed
🔗 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 👇
https://pdlink.in/4cIfLqn
🎯 Perfect for Students | Freshers | Data Analyst Aspirants | Career Switchers | 616 |
| 16 | 7 Real World AI Projects to Build in 2026
🤖 Build an AI Job Search Assistant
Searching for jobs is repetitive — JobFit AI reads your CV, searches live postings, and generates a ranked job-fit report automatically.
📖 Guide: Kimi K2.6 API Tutorial
🐙 GitHub: kingabzpro/JobFit-AI
🔬 Build a Multi-Agent Research Assistant
Most research workflows involve several steps — this multi-agent system handles web search, source filtering, and report writing all in one pipeline.
📖 Guide: Multi-Agent Research Assistant in Python
🐙 GitHub: Multi-Agent-Research-Assistant
📈 Automate Investment Research with Olostep and n8n
Investment research means checking news, financials, and public sources — this workflow automates the entire process and delivers AI-generated reports.
📖 Guide: How to Automate Investment Research Using Olostep and n8n
🐙 GitHub: kingabzpro/olostep-n8n-investment-agent
📊 Build an Agentic Market Research and Trend Analysis App
Manually collecting competitor updates and trend reports takes hours — this agentic pipeline handles research, extraction, and brief writing automatically.
📖 Guide: Agentic Market Research & Trend Analysis with Olostep
🐙 GitHub: kingabzpro/agentic-market-research-olostep
🧾 Build an AI Invoice Processing Pipeline
Invoice processing combines document understanding and structured extraction — this pipeline uses vision AI to pull useful fields and output clean structured data.
📖 Guide: Qwen 3.6 Plus API Tutorial
🐙 GitHub: BexTuychiev/qwen-invoice-pipeline-tutorial
📉 Build a Chart Digitizer with Claude Opus 4.7
Visual data trapped inside static charts and PDFs is now extractable — this tool reads chart images and saves the data points into a clean CSV or DataFrame.
📖 Guide: Building a Chart Digitizer
🏋️ Build an Exercise Trainer with Persistent Memory
Most AI agents forget everything after a session — this exercise trainer remembers your workout history and suggests personalized sessions every time you run it.
📖 Guide: Add Persistent Memory to AI Agents
❤️ Follow for more | 618 |
| 17 |  🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 📊🔥
𝗕𝘂𝗶𝗹𝗱 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 & Learn the tools companies actually use and prepare for high-growth Data Analyst opportunities.
💼 60+ Hiring Drives Every Month
🤝 500+ Hiring Partners
👨🏫 1-on-1 Expert Mentorship
📝 Resume & Interview Preparation
🚀 Dedicated Placement Assistance
🔗 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗖𝗮𝗿𝗲𝗲𝗿 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴👇:-
https://pdlink.in/45vk5ph
🎓 Perfect for Students | Freshers | Working Professionals | Career Switchers | 595 |
| 18 |  📊 𝟱 𝗕𝗲𝘀𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗦 𝗘𝘅𝗰𝗲𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
Excel is one of the most valuable workplace skills — start learning for FREE today!
✅ Beginner Friendly
✅ Learn at Your Own Pace
✅ Improve Excel & Data Analysis Skills
✅ Useful for Jobs & Interviews
✅ Completely FREE Resources
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/3UkOmoa
🎓 Perfect for Students | Freshers | Data Analyst Aspirants | Working Professionals | 587 |
| 19 | These Prompts can help you get your next dream job!
1. Practice Interview Questions:
- "ChatGPT, please ask me some common behavioral interview questions."
- "Can you give me an example of a challenging interview question and provide feedback on my response?"
2. Mock Interviewer:
- "ChatGPT, act as an interviewer, and ask me questions for a marketing manager position."
- "Please evaluate my answers and provide suggestions for improvement."
3. Research Company and Role:
- "What can you tell me about [Company Name]'s recent achievements?"
- "ChatGPT, help me understand the responsibilities of a software engineer at [Company Name]."
4. Behavioral Questions:
- "ChatGPT, let's practice answering a situational interview question. Describe a time when you faced a difficult deadline."
- "Can you help me structure my response to a behavioral question about handling conflicts in the workplace?"
5. Industry Insights:
"What are the emerging trends in the e-commerce industry?"
- "ChatGPT, tell me about the challenges faced by the healthcare sector."
6. Resume Review:
- "Please review my resume and suggest improvements to highlight my project management skills."
- "What are some effective ways to showcase my achievements in a sales resume?"
7. Interview Etiquette:
- "ChatGPT, provide tips on professional body language during an interview."
"What should I wear for a video interview? Any specific recommendations?"
8. Questions to Ask:
- "ChatGPT, help me generate a list of thoughtful questions to ask the interviewer about the company culture."
- "What are some good questions to ask about career growth opportunities in an organization?"
9. Handling Difficult Questions:
- "How can I effectively address a question about a gap in my employment history?"
- "ChatGPT, guide me on responding to a question about a challenging project I worked on."
10. Post-Interview Reflection:
- "ChatGPT, provide feedback on my overall performance in the interview."
- "Let's discuss my strengths and weaknesses based on my interview experience." | 596 |
| 20 |  𝗙𝗥𝗘𝗘 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗟𝗮𝘁𝗲𝘀𝘁 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 😍
- AI
- Data Analytics
- Data Science
- CloudComputing
- Cyber Security
💫Build a Future Ready Career in the AI Era
💫Learn the Skills, Hiring Trends, and Preparation Strategies That Matter
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/45w4ztg
(Only few slots left )
Date & Time :- 18th August 2026 & 7PM | 602 |
