Build with ChatGPT : How-To Build SaaS CRM with No Coding experience

Build with ChatGPT : How-To Build SaaS CRM with No Coding experience

Build with ChatGPT

Image in this article has been generated using MidJourney Generative AI.

Building a CRM Product is usually a Complex process involving multiple talented developers, designers, and other skilled talent.

Below is an Experiment to test 3 hypotheses:

  1. AI (ChatGPT) is enough to assist a Newbie to build a CRM product
  2. Learning Coding could become obsolete while Coding continues to be Important(??)
  3. NoCode Dreams will finally be realized via AI systems like ChatGPT

Below are the Prompts that I used to get responses from ChatGPT and the final working Steps generated by ChatGPT.

To view the raw steps please view the video at the end of the article.

Prompt: I want to build the saas product myself. I want to build a CRM Saas product that is simple and easy to use for startup founders. guide me through the technical steps of building this product.

Build with ChatGPT: Overview of Steps

Building a CRM SaaS product can be a complex process, but here is a general overview of the technical steps involved:

  1. Define the requirements – Start by defining the functional and technical requirements of your CRM SaaS product. This will help you to identify the key features and functionality that your product needs to offer.
  2. Choose a technology stack – Choose a technology stack that is appropriate for your product. As mentioned earlier, some popular technology stacks for building SaaS products include MEAN, LAMP, MERN, Ruby on Rails, and Python/Django.
  3. Design the user interface – Create wireframes and mockups of the user interface for your product. This will help you to design a user-friendly and intuitive interface that is easy to use.
  4. Develop the backend – Develop the backend of your CRM SaaS product. This will involve building a robust and scalable architecture, creating a database schema, and developing the necessary APIs.
  5. Develop the frontend – Develop the frontend of your CRM SaaS product. This will involve using a frontend framework such as Angular or React to create the user interface and connect it to the backend APIs.
  6. Implement features – Begin implementing the key features and functionality of your CRM SaaS product. This may include contact management, lead tracking, sales reporting, and other features that are essential for a CRM product.
  7. Test the product – Test your CRM SaaS product to ensure that it is bug-free, stable, and user-friendly. This will involve both manual and automated testing.
  8. Launch the product – Once your product is ready, launch it and start promoting it to your target audience.
  9. Maintain and improve – Continue to maintain and improve your product based on user feedback and market trends.

Building a CRM SaaS product can be a challenging but rewarding process. It is important to prioritize simplicity and ease of use, especially for startup founders who may not have a lot of experience with CRM software. Be sure to conduct thorough research, work with an experienced team, and use an agile development methodology to ensure that your product meets the needs of your target audience.

Requirements definition

I want to build a Simple and Easy to Use CRM for Startup Founders

Choosing the Tech Stack

I want to use python/django. what is the next step

Steps for readying Tech Stack

If you have decided to use Python/Django for building your CRM SaaS product, here are the next steps you can take:

  1. Set up your development environment – Install Python and Django on your local machine. You can use a virtual environment to manage your dependencies and isolate your project from your system’s Python installation.
  2. Design your database schema – Determine the tables, columns, and relationships that you will need in your database. You can use Django’s Object-Relational Mapping (ORM) to define your models and create the necessary database tables.
  3. Develop the backend – Use Django to develop the backend of your CRM SaaS product. This will involve creating views, templates, and URLs to handle requests from the frontend, as well as building APIs to provide data to the frontend.
  4. Develop the frontend – Use a frontend framework such as Angular or React to develop the frontend of your CRM SaaS product. This will involve creating components, services, and other frontend elements that interact with the backend APIs.
  5. Implement features – Begin implementing the key features and functionality of your CRM SaaS product. This may include contact management, lead tracking, sales reporting, and other features that are essential for a CRM product.
  6. Test the product – Test your CRM SaaS product to ensure that it is bug-free, stable, and user-friendly. This will involve both manual and automated testing.
  7. Deploy the product – Once your product is ready, deploy it to a production environment. You can use a cloud platform such as AWS or Google Cloud Platform to host your application.
  8. Maintain and improve – Continue to maintain and improve your product based on user feedback and market trends. This may involve adding new features, improving performance, and fixing bugs.

Using Python/Django for building your CRM SaaS product can provide several advantages, including fast development, scalability, and a large community of developers and resources. Be sure to follow best practices and use secure coding techniques to ensure the security and reliability of your product.

In the interest of brevity the complete article is available at this link: Build SaaS CRM

Learn all about AI with our Courses. You can also view our Online Learning Platform at WiseCentral

View the Complete Video showing the interaction with ChatGPT:

Impact of AI Education: Best Teacher Award Winner shares her story

Impact of AI Education: Best Teacher Award Winner shares her story

Impact of AI Education

Artificial intelligence (AI) has been transforming many industries, and now, it’s making its way into education. WiselyWise’s Pan-India AI Education program in collaboration with the world’s largest organization is already making waves in the Indian education landscape.

Recently, the second batch of Two-Day Virtual Faculty Enablement Program was conducted, empowering school teachers from various parts of Tamil Nadu to integrate AI concepts and Alexa Skills into their curriculum. The results are in, and Ms. Mahima Ponmalar, a Science teacher at Panchayat Union Middle School, Janapanchattram, Chennai, Tamil Nadu, India, has shared her experience with the program and how it has transformed her teaching methods.

“Breaking News! Our Pan-India AI Education program in collaboration with the World’s largest organization is already making waves in the Indian education landscape! We just concluded our second batch of Two-Day Virtual Faculty Enablement Program, empowering school teachers from various parts of Tamil Nadu to integrate Artificial Intelligence concepts and Alexa Skills into their curriculum. And the results are in – Ms. Mahima Ponmalar, Science teacher at Panchayat Union Middle School, Janapanchattram, Chennai, Tamil Nadu, India, has shared her experience with the program and how it has transformed her teaching methods. Her dedication and hard work have not gone unnoticed – she was awarded the Best Teacher Award!”

Ms. Ponmalar’s dedication and hard work in integrating AI concepts into her classroom have not gone unnoticed. She was awarded the Best Teacher Award, which recognizes her efforts in making a difference in the lives of her students. Ms. Ponmalar’s success is just one example of the program’s impact on the future of education in India.

“Join us in congratulating Ms. Mahima Ponmalar for her exceptional contribution in making a difference in the lives of her students. Watch her inspiring testimonial video as she shares her success story and how she utilized her exposure to cutting-edge technology to build her confidence as a teacher. Don’t miss out on this incredible opportunity to witness the impact of our AI Education program on the future of education in India. Check out the video now!”

Ms. Ponmalar’s testimonial video is inspiring and provides insight into how the program has changed the way she teaches. The WiselyWise AI Education program is empowering teachers and students to learn the latest technology and innovative teaching methods, setting them up for success in the future.

In the words of Ms. Ponmalar, “Artificial intelligence is something that we have been hearing for a long time, and now, I am able to teach this in my classroom. This has built my confidence as a teacher, and my students are also interested in learning something new. The sessions were informative and interactive, and we learned to integrate Alexa Skills as well. It was an excellent opportunity for us to learn.”

The WiselyWise AI Education program is setting the foundation for the future of education in India. It is essential to keep up with the changing times and equip students with the latest technology and knowledge. By integrating AI concepts and Alexa Skills, teachers can make learning more interactive, engaging, and exciting.

In conclusion, the WiselyWise AI Education program is a game-changer in the Indian education landscape. Ms. Ponmalar’s success story is proof that the program is making a significant impact on teachers and students alike. Join us in congratulating Ms. Ponmalar on her achievement and witness the impact of the AI Education program on the future of education in India by watching her inspiring testimonial video.

Machine Learning in Python Course from National University of Singapore

Machine Learning in Python Course from National University of Singapore

Programme Introduction

WiselyWise, the leader in AI Education, is happy to bring you the prestigious Machine Learning in Python Program from the National University of Singapore(NUS).  

NUS ranks Number 1 in Asia across Universities and NUS’ programmes in the areas of Arts and Social Sciences, Computer Science, Design and Engineering, and Science were placed Top 10 in the 2022 rankings, according to the latest Quacquarelli Symonds (QS) World University Rankings https://news.nus.edu.sg/sixteen-nus-programmes-in-global-top-10 

The Program is designed for Learners to study Machine Learning in Python over a 3 week period and to apply their learning to practical problems. Designed and Delivered by NUS Faculty, You will learn in a Unique hands-on Virtual Class Mode. 

This is an Open Course for the benefit of learners from several countries. You will learn in an Intensive Mode requiring Online Class learning and Offline study spread across 3 Weeks. At the end of the program, you will be presenting a Project focused on Real-world problems and their solutions. You will be assessed throughout the course and provided a Certificate of Completion.

VIEW COMPLETE DETAILS HERE: https://wiselywise.com/machine-learning-in-python-by-nus-wiselywise/

Why Study Machine Learning

Machine learning is rated as #1 among The Best Jobs with a 344% rate of growth and a median salary of $146,085 per year as per the Employment Website Indeed.com. The World Economic Forum estimates 85 million jobs will be displaced, yet AI will create 97 million new jobs by 2025. 

Artificial Intelligence is the new Industrial revolution and will impact all aspects of your life. Be it Google Search or Netflix or New Medicine Development, AI is the driving force. Machine Learning is an important part of AI and studying ML opens a world of opportunities for developing bleeding-edge applications areas, such as cybersecurity, image recognition, medicine, and face recognition. 

If you are looking for an in-demand career or would like to impact the world with purpose, this program will provide you with a solid foundation to start your career and position you for success.

Programme Overview 

In this course, we will provide an introduction to machine learning and how to utilize machine learning models to solve business problems. We will teach you the steps necessary to create a successful machine-learning application with Python. We will focus on the practical aspects of using machine learning models to solve business problems, evaluating the models, and improving the model performance by tuning hyperparameters. 

Course Objectives

This course aims to:

  • Provide participants with a strong foundation in advanced analytics methods.
  • Provide participants with the necessary knowledge to appreciate the proper application of advanced analytics methods in business applications.
  • Teach participants the use of Python for creating Machine Learning applications.

At the end of the course, participants will be able to:

  • Understand various machine learning methods for classifying and clustering data.
  • Use Python to implement Machine Learning methods in business applications.

Pre-requisites 

Students from the ages of 17 & above. Should know the basics of Python. 

[Optionally, Students can contact WiselyWise and we will provide an Online Course: Python for AI via WiseCentral Learning Platform for students to pick up on python programming before the start of the programme so that the students can begin with a Python programming background]

VIEW COMPLETE DETAILS HERE: https://wiselywise.com/machine-learning-in-python-by-nus-wiselywise/

Digital UpSkilling of  Corporate Employees: A Fast Overview

Digital UpSkilling of Corporate Employees: A Fast Overview

Successfully completed another Corporate Training Cohort in Singapore focussed on Digital Business and Digital Marketing. A 6 months UpSkilling journey with SGUS Participants and batch students with backgrounds ranging from Financial Advisor to AirHostess to Logistics Biz Owner etc.

Some are moving into newer careers, some into new industries and jobs, some into Entrepreneurial ventures. Not to forget the amazing effort by some senior students who came out tops and are truly serious about their next job and career in the Digital space.

Satisfied that our students can out beat anyone in Digital Strategy, Digital Marketing, Digital Sales & Solutions given their prolific project output throughout the 6 months.

SKILLS

Hands-on skills involved eMail Campaign management using Mailchimp, Digital Analytics using Google Analytics, Content/SEO/SEM marketing, eCommerce Portals using Wix, Digital Strategy using Lean Canvas, etc.

If you need real Digital & Marketing Stars in Singapore, look no further. 

 

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