AI Comprehensive Practice:Project Proposal Instructions


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AI Comprehensive Practice:Project Proposal Instructions

1 Key information to include

Your PDF proposal should have the following information at the top;
  • Title: The title of yourproject
  • Team member names: List the names and class of all of your team members.
  • (Optional) External Collaborators: If you have any collaborators who are not our class students, list them.
  • Customor Default Project: indicate which you are doing.

2 Research paper summary

  • Paper selection: The first section of your proposal is a summary of a research paper that is relevant to your project. For example, if you are reimplementing a complex model. you should choose the paper that presents that model lfyou are applying a particular methad to a new task. you could choose the paper that presents the method. lfyou are developing a new variant of a particular model. you could choose the paper that presents the original model. There are other possible cases- use your judgment to choose what seems like the most relevant paper.
  • Paper eligibility: Any research or technical paper is fine. though you want to make sure it is a high-quality paper. For this, we encourage looking for research papers that have been published in a peer-reviewed venue (ie.. conference or joumal).However, due to the fast pace of Al. there are many important and high quaity papers that are not (or not yet) published at a peer-reviewed venue - for example. they may be very recent papers that have not yet been submitted for review. lf you choose a paper that has not been published at a peer-reviewed venue, be wary that it might beunfinished or preliminary work.
  • The summary: Write a summary of the paper that a fellow our course student could understand. This means that you should explain any new terminology not introduced in the course and avoid spending space explaining course content. For most teams this will probably involve some key mathematical equations, but you dont have to exhaustively mathematically describe everything. You may indude a diagram if you think it's important, but it shouldn't take up more than 1/3 of a page. Make sure to explain any diagrams or equations that you include. in your 2-page (but not longer than2-page)summary. prioritize conveying the most important information and ideas of the paper. in particular, when evaluating your summary, we will explicitly look for discussion of each of the following aspects:
  • Bibliographical info. Title, authors. publication venue (or greerint server. like aniy). publication year. and URL Put this information at the top of your summary. 
  • Background. set the scene for the paper, looking to the intraduction section, as well as the related work or background sections, if they exist. what motivations and problems do the authors cite when explaining why they think this work is important? What problems are they attempting to solve, or what knowledge are they hoping to discover?
  • Summary of contributions.Each paperis published because it adds something to the ongoing research conversation. it teaches us something we didnt know before. or provides us with a tool we didnt have, etc. summarize what contributions this paper makes. whether they be in new algorith ms, new experimental results and analysis. new meta-analysis of old papers, new datasets. orotherwise.
  • Limitations and discussion.Every research paper has limitations and flaws. Using the discussion and conclusion sections if they exist,critically identifyinteresting experiments,methodology. or methods that might have made this paper stronger. Note that many papers do not discuss their limitations, so you may have to critically think about the limitations of the work. For example, did the authors only evaluate on English. or only on Wikipedia text, and claim that their results generalize to all of language? Did the authors not characterize the errors their model makes compared to previous models? Discuss how these limitations contextualze the findings of the paper - do you still find the paper convincing?
  • Why this paper? There are infinite papers you could read. and you chose to read this one. Maybe it came up first on Google Scholar. or a TA suggested it.Regardless. discuss your motivation for choosing this paper or the topic that the paper it addressed.What interested you about the topic? Having read it in depth. do you feel like youve gained from it what you were hoping? ("No" is an okay answer here.)
  • Wider research context. Each research paper is a focused contribution, targeting a very specific problem setting. However, each paper also fits into the broader story ofai research -designing systems that process human languages and human vision. it may be useful to do a cursory read of one or more of the papers cited in the paperyoure reviewing. as well as papers that cite your paper (Google Scholar can be a useful resource for this). and cite them.
  • Do not go over four pages for this summary. Use your judgment to determine what information from the paper is important while making sure to devcte a bit of space to each of the sectiors above.

3 Project description

In this section. you will describe what you plan to do for your project. it's fine if your project eventually evolves into something different - thats a natural part of research. But your proposal should lay outa sensible initial plan. This section should answer the following questions (it's a good idea to structure your project description in this way. but you can structure differently if you like):

1.Describe the maingoal(s) of your project. lf possible, try to phrase this in terms of a scientific question or engineering question you are trying to answer- e.g- your goal may be to investiqate whether a particular model or technique performs well at a certain task, or whether you can improve a particular model by adding some new variant. or (for theoretical/analyticalprojects), you might have some particular hypothesis thatyou seek to confrm or disprove. Otherwise, your goal may be simply to successfully implement a complex neural model, and show that it performs well on a given task. Briefly motivate why you chose this goal - why do you think it is important, interesting. challenging and/or likely to succeed? if you have any secondary Or stretch goals (ie. things you will do if you have time).please also describe them. in this section. you should aso make it clear how your project relates to your chosen paper.
2.What Al task(s) will you address? This could bethe same task as addressed by your chosen paper. but it doesnt have to be. Describe the task clearly (i.e... give an example of an inputand an output. if applicable) - though if you already did this in the paper summary, there's no need to repeat.

3.What data will you use? Specify the gatageg(s) you will use (including its size). and describe any preprocessing you plan to do. if you plan to collect your own data. describe how you will do that and how long you expect it to take.

4.What method(s) are you planning to use? Describe the models and/or techniques you plan to use. lf it's already described in the paper summary. no need to repeat. if you plan to eplore a variant to a published method. focus on describing how your method will be different. Make it clear which parts you plan to implement yourself. and which parts you will download from elsewhere.

5.What baseline(s) will you use? Describe what methods you will use as baselines. Make it clear if these will be implemented by you. downloaded from elsewhere, or if you will just compare with previously published scores.

6.How will you evaluate your results? specify at least one well-defined, numerical. automatic evaluation metric you will use for quantitative evaluation. What existing scores will you be comparing against for this metric?

7 Please indude your computer program source code in the attachment. Your code examples should either be real code and should be run correctly when you show it to us.

4 Submission instructions

Submit your PDF proposal when you show your work for us in the last two lessons of this semester.

5 Default Project

Project Title: Al Accessible Reading Companion based on Hwawai.Al tech.


Project Goal: Develop an application of Mobile app or Desktop software that utilizes OCR and voice interaction technology to assist visually impaired individuals in accessing and interactingwith written information.

Target Users: Individuals with visual impairments who rely on assistive technologies for accessing information.

Functionalties(optional)

1 Text Capture and Conversion:
Utillize OCR technology to capture text from various sources:


  • Real-time camera input Allow users to point the phone camera at printed text (documents, books, signs) and convert it into digital text.
  • Image selection: Enable users to choose existing images from their gallery containing text for conversion.


2 voice interaction:

Integrate voice interactionfeatures to enhance accessibility:

  • Text-to-speech conversion: convert the extracted text into high-quality audio for users to listen to comfortably.
  • Voice controt: Allow users to control the application's functionalities through voice commands. such as starting/pausing text reading. adjusting reading speed. or navigating through the captured text.
3. Multi-language Translation:
  • Automatic Language Detection: Detect the language of captured text automatically to streamline the translation process.
  • High Quality Translation: Provide accurate translations in the user's preferred language.
4.Additional functionalities:
  • Font size andstyle adjustments: Enable users to adjust the font size andstyle of the displayed text for better readability based ontheir preferences.
  • Text highlighting: Allow users to highlight specific partions of the text for easier reference and navigation 
  • offline functionality. Enable basic functionalities,like text-to-speech trom downloaded documents. to work even without an internetconnection.


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