Project Report Writing is a crucial aspect of any undergraduate course that requires students to undertake a major project. Writing a project report can be a daunting task, especially for those who are not well-versed in technical writing. However, with the help of ChatGPT/ AI tools (Bard, Monica) and Code, students can create an impactful project report that will impress their professors and peers.
ChatGPT/ AI tools (Bard, Monica) is an AI language model that can generate human-like text. It can help students generate ideas, complete sentences, and even write entire paragraphs. With ChatGPT/ AI tools (Bard, Monica), students don’t have to worry about writer’s block or coming up with the right words to say.
Programming Language and Code are also essential tools for creating a project report. They allow students to organize their data, analyze it, and present it in a way that is easy to understand. Students can use programming languages like Python, Java, or C++ to write code that will help them analyze their data and create visualizations.
Professional Writing is crucial when it comes to writing a project report. Students need to make sure that their report is well-organized, easy to read, and free of errors. They should also use a persuasive tone to convince their readers that their project is valuable and worth their time.
In this blog, we will provide undergraduate students with a step-by-step guide on how to use ChatGPT/ AI tools (Bard, Monica) and Code to create an impactful project report. We will show students how to organize their data, write their report, and present their findings in a way that will impress their professors and peers. By the end of this blog, students will have all the tools they need to write a professional and impactful project report.
Project report structure
When it comes to writing an undergraduate project report for a major project, it is essential to include all the necessary sections to ensure that your report is well-organized, easy to read, and free of errors. The number and type of sections may vary depending on the specific requirements of your institution and department. However, most undergraduate project reports for a major project should include the following sections:
Introduction: This section provides an overview of the project and its objectives. You can use ChatGPT/ AI tools (Bard, Monica) to generate ideas and write a compelling introduction that will grab your reader’s attention.
Literature Review: This section discusses the relevant literature and research related to the project. You can use professional writing techniques to ensure that your literature review is well-written and organized.
Methodology: This section describes the methodology used to conduct the project. You can use programming languages like Python, Java, or C++ to write code that will help you analyze your data and create visualizations.
Results: This section presents the results of the project. You can use ChatGPT/ AI tools (Bard, Monica) to help you write clear and concise descriptions of your results.
Conclusion: This section provides a summary of the project and its findings. You can use ChatGPT/ AI tools (Bard, Monica) to generate ideas and write a compelling conclusion that will leave a lasting impression on your readers.
References: This section lists all of the references used in the project. You can use professional writing techniques to ensure that your references are properly cited and formatted.
Appendices: This section includes any additional information that is relevant to the project but not included in the main body of the report, such as raw data, charts, or graphs. You can use programming languages like Python, Java, or C++ to create visualizations that will help you present your data in a clear and concise manner.
By including all of these sections in your undergraduate project report for a major project, you can create a professional and impactful report that will impress your readers. With the help of ChatGPT/ AI tools (Bard, Monica), programming languages, and professional writing techniques, you can write a report that is well-organized, easy to read, and free of errors.
Let us assume that we are making a project report for a python project titled “Fake News Detection Model using TensorFlow in Python”. For reference the details of the project are given at “https://www.geeksforgeeks.org/fake-news-detection-model-using-tensorflow-in-python/?ref=gcse” describes the project”. In following sections we shall see the prompts for various AI tools (ChatGPT, Bard, Monica, Bing) to get the text for various sections of the project report. The users must remember that the AI tools are for getting the reference, if you want to learn you must use this tool to improve your presentation rather than copying it blindly. Hence, it is strongly advised that the content, length and specifics of the content must be carefully checked by the user and modified to the maximum.
Prompt for Introduction section
Use the prompt given in the text file with BARD, Monica or Bing as these tools currently have access to internet without paid subscription. ChatGPT need subscription for Internet connectivity at the moment.
Prompt for Literature review section:
Writing literature review section is one of the trickiest part of writing the literature survey. We must use AI tool specifically for research for making a database of related work. For this we shall use Research Rabbit. (See the video bellow for Research Rabbit). We shall use Research Rabbit to get a collection of papers that are relevant to our project. We shall download a CSV file which contains Title of papers, name of authors and abstract of the reference paper along with other details. (Read: AI Tools for Education and Research)
After collecting the required references from research rabbit and making a data base, we shall use the CSV file downloaded from research rabbit to make a markdown style table of the (https://markdown-convert.com/en/tool/table). Change the prompt given below to add the topic of your project and the markdown table containing title of papers, name of authors and abstract of the reference paper. Note: Use at least 15 reference papers to get a proper literature review.
Prompt for Methodology section
Use the prompt given in the text file with ChatGPT. The script includes the details given in the webpage that describes the working of code and its execution. Change the content based on the project and reference webpage. As we are providing the content, ChatGPT does not require any access to internet. The methodology is decoded by the designer and hence, it may be entirely unique. In other words, the methodology section may not have any references.
Prompt for Results section
Use the prompt given in the text file with ChatGPT. The script includes the details given in the webpage that describes the working of code and its execution. Change the content based on the project and reference webpage. As we are providing the content, ChatGPT does not require any access to internet. The users must include the pictures and screen shots of results based on the results obtained.
Prompt for Conclusion section
Use the prompt given in the text file with ChatGPT. The script includes the details given in the webpage that describes the working of code and its execution. Change the content based on the project and reference webpage. As we are providing the content, ChatGPT does not require any access to internet.
Prompt for References section
The prompts used in previous sections will create the references automatically as the response. Collect all the references at the end to complete the reference section.
Use this section to add the code.
Conclusion for project report writing
In conclusion, we have explored the powerful capabilities of using ChatGPT and AI tools like Bard and Monica to create impactful project reports. Leveraging these advanced technologies, combined with our working code and results, can significantly enhance the quality and efficiency of the report-writing process. As we have seen, ChatGPT excels in generating coherent, contextually relevant, and well-structured content based on the prompts provided, making it an invaluable resource for any report writer.
The key takeaway from this blog is that AI tools can complement human efforts and not replace them. By combining the analytical skills of a human with the computational prowess of AI, we can unlock new levels of creativity, productivity, and precision in our project reporting. Bard helps us with brainstorming ideas, while Monica acts as a helpful peer-reviewer, offering constructive feedback on the generated content.
As we adopt AI tools in our report writing, it is crucial to maintain a critical eye and exercise discernment when incorporating the AI-generated content into the final report. Human oversight and editing remain essential to ensure accuracy, reliability, and a personalized touch in the document.
Moreover, presenting working code with results alongside the report can significantly strengthen its credibility and reproducibility. This inclusion allows readers to validate the findings, replicate the experiments, and build upon the project’s work.
However, it is crucial to acknowledge that AI tools are constantly evolving, and while they have come a long way, there may still be limitations and potential biases in their outputs. As responsible users, we must be aware of these shortcomings and continuously strive for improvement and ethical usage.
In conclusion, the integration of ChatGPT, Bard, Monica, and working code with results can elevate the impact of project reports to new heights. Embracing these AI tools opens up a world of possibilities for more efficient, insightful, and influential reporting. As technology continues to advance, we can expect even more sophisticated AI tools to enhance our abilities as writers, researchers, and communicators. Let us embrace this AI-powered future with enthusiasm, while also ensuring that our human expertise and values remain at the core of all our endeavors. Happy project report writing!