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What is the theme of your team’s capstone project?

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What is the theme of your team’s capstone project?

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What is the current progress of your project plan?

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Create a post about your Capstone Project!

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Create a post about your Capstone Project!

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Check the example.

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My theme is the economy. I want to develop a machine learning feature for predicting economic trends by analyzing data gathered from web scraping.

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We are building a nutrition app, providing healthy recipe recommendations from a pantry system and food day-to-day logging with analytics

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My group is doing a project about healthcare, we want to give a medium for people to know the early diagnosis of the disease.

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our team capstone theme is the healthcare. we want to create an app that can predict a stunting symptoms in children and recomend a way to prevent it

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I want to develop a machine learning model that can predict human emotions by analyzing facial expressions from images. For this, I'll use the FER-2013 dataset, which contains labeled images of human faces categorized by different emotional states. The goal is to build a model that can detect emotions such as happiness, sadness, anger, surprise, and more, based on the facial features in the images.

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Our theme project is Healthcare. Our team is developing a health application that can analyze users' symptoms and provide first aid suggestions, as well as information about nearby pharmacies or hospitals.

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My group has a few ideas that we're still considering. We're leaning towards a simple chatbot to accommodate mental health problems that people are having.

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My theme is economy. I want to develop machine learning to make predictions based on spending habits for personal finance app

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My theme is about agriculture, I want to develop how to check the health and types of diseases of bean plants based on pictures of bean leaves.

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My team capstone theme is Agriculture and Fisheries, we want to make system for detecting nutrient content in rice

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My capstone group theme is "Education - Personal Growth", we are developing an app that helping people to get more confident on their public speaking/presentation by assessing and giving realtime feedback, such as filler words, articulation, sentiment, etc.

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Our theme project is Healthcare, we want to develop an application tha can give analysis of daily sugar usage and give recommendation any product who could be alternative product with less sugar or alert if too much

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Our team want to help identified the common challenge people face in understanding their skin type accurately, which can lead to ineffective skincare choices

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Our team builds material recommendations based on mistakes that users often make when answering questions

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my team focus on the theme economy and focusing on a personal finance application designed to simplify expense tracking and promote healthy spending habits through the scanning and analysis of shopping receipts.

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my theme is the economy. This project aims to empower farmers and stabilize the agricultural economics market by optimizing cold storage operations. ML jobs will predict prices. Price prediction for the upcoming days.

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Our team plans to create a financial application that is intended to help Gen Z in terms of saving money, where we make predictions for ideal income to achieve the desired savings goals. We hope that the application can help Gen Z in terms of saving

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Our theme is sustainability futures. We're planning on building an application that helps users track available ingredients and provides recipe recommendations based on them, reducing waste accumulation. By actively tracking these items, the application can recommend recipes that prioritize ingredients nearing their expiration date. By enabling users to creatively utilize existing ingredients, this application also promotes cost savings, avoiding unnecessary purchases of ingredients that often go unused.

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Our theme is healthcare. We want to make an application that analyze user's personal health data to decide whether someone is underweight, ideal, or obese. Our team came up with this project because we noticed how challenging it can be for people to maintain healthy eating habits in a busy lifestyle.

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My team focus on Sustainable Tourism as our team's theme and created an app that suggests eco-friendly eats (based on their packaging) that suit the weather where user are. We're focusing on food spots in Surakarta.

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My team developed an app focused on supporting Gen Z in maintaining their mental health, especially in dealing with challenges such as stress, anxiety, and social pressure. The app will record the user’s daily log and ask for some data that will be processed to guide the user to provide recommendations. With a user-centric approach, the app can make mental health resources more accessible and relevant, helping Gen Z manage their mental health.

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I’m having trouble coordinating our schedules because we live in different cities and have different activities.

Additionally, one of my friends doesn’t seem to fully understand what we’re trying to build. He’s using a model for images, while our dataset is text-based.

I am feeling a bit insecure since all of my team is coming from a reputable university, so i am doing this self sabotage.

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Schedule: because all of us are doing our final project (TA)

The understanding of tools that we need to use

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In my Capstone project for Bangkit, one of the obstacles I encountered was that while the accuracy of my model is around 70%, the loss value remains high. This indicates that although the model is making correct predictions, it struggles to minimize the error, which affects its overall performance.

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My problem is about dividing my time between courses, capstone, and lectures, which have been very busy lately, and for the capstone part, the problem is finding the most suitable model for the dataset I have.

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The difficulty is to compile a program for decoding barcodes. In addition, confused about where the GenAI implementation is.

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My group's capstone project seeks to address the communication gap that disabled individuals face due to limited public understanding of sign language. Our solution for this problem is an application that uses computer vision to translate sign language into text in real time.

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Our team had a problem with the dataset. When we implemented the dataset, it didn't turn out so well. So we went back to update our dataset

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Overall, my team's progress is on track based on the timeline we created. We meet regularly on the time range agreed in the beginning. From the ML pov, we're still in the process of cleaning our dataset due to the its poor quality to use for training

One of the obstacle faced is actually a CC member that doesn't really take this project seriously. He always delays tasks given and even kind of "instructs" other CC member to do it. When that other member did it and asks for his opinion on it, he only agrees, when in fact he didn't even look at it. But every weekly meeting and even when we present our progress to our capstone mentor, he presents as if he knows everything about the project and is the "most active" one. After pestering him, he's know working on designing the ERD for the database, but he doesn't even know how to make a proper ERD. When we confront him about it, he always say he understood the problem and he'll revise it tomorrow and the day after, and the day after every time. It's been a week and jujur semakin lama ERD yang dibikin makin absurd dan bener2 kayakk masak ada entity buat tambah bahan T.T . He doesn't even know one to many or many to many relationship in ERD T.T nangiss bgt kak capee banget jujurr, semuanya udah mangkel banget. When we tell him what's wrong and what needs to be corrected, he speaks as if we're blaming him and "targeting" him T.T I know not everyone is a pro in their paths but knowing that, shouldn't they try harder or take the initiative to ask? rather than avoiding the problem and procrastinate. We tried to talk to him, and out team leader also did talk to him, but the result is sama ajaa :)) huhu maaf panjang banget

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amd graphic card :')

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My team is having problems with the dataset for the model.

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Having problem with the Speech to Text model. At first, we tried to build our own STT model but it was so hard, the model quality is bad, low accuracy, and it can't transcribe fillers. Then, we do research on big opensource STT model such as Whisper, wav2vec, etc, they do have same problem that the models ignore the fillers and not transcribe it. Now we confused.