	A	B	C	D	E	F	G	H	I	J
1	Team ID	Project Name	Project Summary	Team Members			Innovation Expert	Supervisor	Project URL	Contact Email
2	Team ID	Project Name	Project Summary	Student ID	Name	Surname	Innovation Expert	Supervisor	Project URL	Contact Email
3	T2301	Yoldaş	Yoldaş (Yoldas) is a non-profit mobile app that empowers visually impaired individuals to live more independently. We connect them with volunteers through live video calls, addressing a range of needs, from everyday tasks to emotional support. Our platform matches visually impaired people with volunteers with the required abilities, ensuring swift and satisfying interactions. We prioritize user experience with smart feedback mechanisms and an accessible UI. Beyond live support, Yoldaş leverages AI to assist users with color recognition, currency identification, and text summarization through their smartphone cameras. We collaborate with associations for the visually impaired to ensure our solutions are practical and impactful.	21903245	Berkay	Çalmaz	Murat Ergun	Cevdet Aykanat	https://furkancalik7.github.io/Yoldas/	yilmaz_can@ug.bilkent.edu.tr
4				21901794	Emre	Turhan
5				21802114	Furkan	Çalık
6				21902019	Can	Yılmaz
7				21901515	Furkan	Güzelant
8	T2302	Yicem	Our project is a mobile application that aims to reduce food waste by creating a connection between the cafes and bakeries of university campuses and the students. Through our application, the students can buy the surplus that usually would go to waste for discounted prices from registered establishments.	21902410	Ömer Burak	Doğan		Özgür Ulusoy	https://project-yicem.github.io/yicem-project-page/	yagiz.ozkarahan@ug.bilkent.edu.tr
9				22002712	Ahmet Alperen	Yılmazyıldız
10				21801618	Ege	Çenberci
11				22002276	Yağız	Özkarahan
12				21902354	Bilgehan	Sandıkçı
13	T2303	YEVIEW	People frequently take an excessive amount of time to consider their meal options, which sometimes results in the wrong decision. Technology's development has only made this problem worse, particularly on websites with countless food options. Yeview is a cutting-edge program that completely eliminates this time wastage. By tailoring food recommendations to your unique preferences, Yeview streamlines the decision-making process, ensuring you receive personalized suggestions that you're sure to enjoy.	21702559	Hüseyin	Uzun		Abdullah Ercüment Çicek	https://yeview.netlify.app/	YeviewApp@gmail.com
14				21902462	Yarkın	Ergin
15				21703136	Mustafa Hamit	Dölek
16				21702970	Yusuf	Doğan
17				21902324	Mehmet Alper	Çetin
18	T2304	Vigilant ( The name will probably be changed)	Our project aims to enhance the customer experience and to increase the profits of stores and markets by deploying cutting-edge technology and with the help of computer vision. We're developing a system that not only detects foot traffic but delves deeper into understanding customer preferences. From tracking their focus areas and time spent in-store to capturing demographic data such as age, gender, we're creating a comprehensive profile. Our goal is to empower retailers with invaluable insights, enabling them to tailor their offerings and services to match the ever-evolving needs of their customer base. Beyond just customer demographics, we're exploring the potential for financial advice based on spending patterns, adding a personalized touch to the shopping experience. Forecasting future trends is another dimension of our project. By analyzing the data collected, we will provide retailers with forecasting capabilities, allowing them to stay ahead of market trends and make informed decisions. However, we are aware of the ethical and privacy considerations in this project. Our commitment extends to addressing privacy concerns related to camera-based data collection and ensuring strict compliance with data protection regulations. The ethical use of facial recognition technology is a priority, and robust data security measures are embedded throughout our system. In essence, our project is not just about tracking customers—it's about empowering retailers with actionable insights, fostering a symbiotic relationship between businesses and their clientele.	21903375	Onur Asım	İlhan	Mustafa Sakalsız	Uğur Güdükbay	https://vigilant-team-euro.github.io/webpage/	e.erkan@ug.bilkent.edu.tr
19				21902248	Efe	Erkan
20				21901908	Uygar Onat	Erol
21				21803637	Recep	Uysal
22	T2305	AdVantage	AdVantage is an innovative application that analyzes top-performing internet advertisements, providing advertisers with strategies in line with trends and market dynamics. It is created for marketing professionals and developers seeking optimized digital advertising. Our platform streamlines the trial-and-error process, offering data-driven insights to enhance ad content and concepts. By leveraging innovative machine learning algorithms, we predict ad success rates and revolutionize the advertising process by giving recommendations according to the current trends analyzed from related and successful ads without the need for large marketing budgets, setting us apart from the competition.	21901724	Kerem	Şahin	Burak Özen	Uğur Doğrusöz	https://keremsahin22.github.io/	bilkent-cs-senior-advantage@googlegroups.com
23				21902377	Kutay	Şenyiğit
24				21901831	Melih Fazıl	Kesin
25				21901987	Miray	Ayerdem
26				21903025	Utku	Kurtulmuş
27	T2306	SecuRent	Our project handles the problem of house renting. Rents are regulated by our system. Expected rental value of each building is calculated by the Machine Learning algorithm. Machine Learning algorithm checks the other rent increases in each area. In our project, deposits of each rental apartment will be taken by the government. The government will be able to earn money by using the collected deposits. With the implementation of the project, rent problems such as exorbitant price increases and tenant-landlord disputes will be solved.	21903105	Yusuf	Şenyüz	Ozan Görgülü	Özcan Öztürk	https://yusufsenyuz.github.io/Project-Web-Page/#members	yusuf.senyuz@ug.bilkent.edu.tr
28				22003093	Arda	YILDIZ
29				22003014	Cengizhan	Terzioğlu
30				22001842	Yunus Eren	Türkeri
31				21903358	Mustafa	Kaan
32	T2307	RoboRumble	RoboRumble is an interactive game where players can use their creativity to design, build and program their robot. The robots can be programmed using visual blocks of code. Each round player's robot is put against a unique enemy robot, demanding different strategic approaches. At its core, our game seeks to transform the experience of learning robotics and programming, making it engaging and accessible, particularly for the younger audience.	21901425	Ömer Burak	Yıldıran	Cem Çimenbiçer	Uğur Güdükbay	https://roborumble.online/	burak.yildiran@ug.bilkent.edu.tr
33				22001987	Ege	Safi
34				1703903	Alperen	Erdoğan
35				22003912	Alp	ERTAN
36				21903042	Ömer Asım	DOĞAN
37	T2308	RestoRun	Our project is dedicated to revolutionizing the restaurant industry with a cutting-edge platform. Our mission is to empower restaurants to attract more patrons, elevate their service standards, organize captivating events, and foster meaningful interactions with their customers. Through our platform, restaurants can engage with their clientele via posts, showcase menus, and optimize their occupancy ratios. This innovative solution promises to reshape the dining experience, delivering benefits for both restaurants and their valued customers.	21902722	Arda	Tavusbay	Mustafa Sakalsız	Can Alkan	https://ardatavusbay.github.io/restorun/	arda.tavusbay@ug.bilkent.edu.tr
38				22003948	Semih Kaan	Çakır
39				22003079	Eylül	Badem
40				21802760	Onur	Ertunç
41				21903187	Efe Can	Tepe
42	T2309	PrioVar	We introduce 'PrioVar,' where bioinformatics meet precision to transform rare disease diagnosis, and where health clinics become interconnected for a collective impact. Our project is a cutting-edge genetic variant prioritization tool tailored for health clinics, designed to seamlessly integrate phenotype data into the decision-making process. Clinics can prioritize genetic variants in order to make more accurate predictions about the causes behind rare diseases, exchange valuable variant frequency information via our interface, and gain access to anonymous data from individuals with similar phenotypes/genotypes with known diseases, all of which collectively revolutionize the detection and understanding of genetic conditions. Our mission is simple: empower early and accurate diagnosis, ultimately improving the lives of those affected by rare diseases.	21901946	Kaan	Tek	Umut Ağyüz	Abdullah Ercüment Çiçek	https://priovar.com/	erkin.aydin@ug.bilkent.edu.tr
43				21902464	Halil Alperen	Gözeten
44				22002956	Erkin	Aydın
45				21902416	Safa Eren	Kuday
46				21903357	Korhan Kemal	Kaya
47	T2310	WePrep	Introducing WePrep, your go-to solution for interview, meeting, and public speaking preparation. Our user-friendly web application leverages state-of-the-art AI models to provide a range of invaluable features.Simply input your resume or job description along with your preparation goals. WePrep then crafts personalized mock interviews tailored to your needs. During your mock interview session, a virtual voice poses context-aware questions, creating a realistic simulation. The application conducts a comprehensive analysis, evaluating emotions, body language, and confidence. It also transcribes the conversation for further review. The data is timestamped, providing a detailed breakdown of your performance. From confidence metrics to text analysis, even insights on speech fluency and word usage, WePrep delivers instant, unbiased feedback. Based on this analysis, you'll receive custom resource recommendations, contextualized suggestions, and a personalized improvement roadmap to accelerate your improvement journey. Over time, the application builds a comprehensive metric profile of your abilities, giving you an overview of your progress and current abilities. Elevate your performance with WePrep - where preparation meets precision. Prepare to excel and step confidently into your next opportunity.	22001298	Maher Athar	Ilyas	Ahmet Eren Başak	Uğur Güdükbay	https://strada-dev.github.io/	athar.ilyas@ug.bilkent.edu.tr
48				22001468	Arshia	Bakhshayesh
49				22001488	Izaan	Aamir
50				22001476	Faaiz	Khan
51				22001198	Amirreza	Khoshbakht
52	T2311	Pull Request Classifier (PieR in short)	"PieR" is a software analytics project that leverages Data Science, AI, and Machine Learning. For a specific repository, the project analyzes incoming pull requests to classify them into n categories, including "bug fix," "new feature," "security update," and others. Additionally, the project presents the analysis results through a web application that interfaces with GitHub, GitLab, BitBucket, or Azure DevOps.	22002733	Borga Haktan	Bilen	Eray Tüzün	Eray Tüzün	https://www.pier.tools	berk.cakar@ug.bilkent.edu.tr
53				22003021	Berk	Çakar
54				22002178	Yiğit	Yalın
55				21901636	Atak Talay	Yücel
56				22001787	Kutay	Tire
57	T2312	xAI-Empowered Breast Cancer Analysis	Our system is an end-to-end doctor and patient assistant for early breast cancer screening. Empowered by xAI (explainable AI), it helps doctors, especially radiologists, to diagnose breast cancer at early stages with higher accuracy. The flexibility and accessibility that our system provides make it easier for patients to follow their screening results and contact their doctors. The availability of many doctors on one platform allows patients to access many opinions, satisfying the desire of the second opinion market. In our system's workflow, patients upload their mammogram, which is analyzed by a doctor and our xAI model separately. Then, if the results match, the diagnosis will be finalized; otherwise another doctor will review both results by taking advantage of the explainability of the model and give a terminal decision.	21902584	Ömer Kağan	Danacı	Deniz Katırcıoğlu Öztürk	Selim Aksoy	mukaddem.com/	kagan.danaci@ug.bilkent.edu.tr
58				22001398	Omar	Hamdache
59				21902582	Mahmut Furkan	Gön
60				22003148	Ahmet Arda	Ceylan
61				21903191	Mustafa	Yetgin
62	T2313	Lokate	Lokate offers an innovative indoor location tracking system designed to revolutionize various business models. Our system provides valuable location data, enabling retailers to gain insights into customer habits. Using advanced machine learning models, we uncover not only conscious but also unconscious behaviors, like which store sections customers spend the most time in. This valuable data is then linked to specific products, empowering business owners with actionable analytics to boost their profits. Our user-friendly dashboard simplifies the decision-making process, making it easier for business owners to leverage this data for success.	22003652	Ali Emre	Ahmetoğlu	Ahmetoğlu	Cevdet Aykanat	lokateapp.github.io	emre.ahmetoglu@ug.bilkent.edu.tr
63				21902455	Umut	Başer
64				21802088	Berkay	İnceişçi
65				21902702	Ahmet	Şahin
66				21902296	Hayrullah Emre	Taş
67	T2314	Linguist AI	"Linguist AI" is a Gen-AI-based mobile app designed to serve as a writing and speaking practice companion for English language learners, with a particular focus on those at the A2 conversational level or higher. The app will boast a dynamic chatbot that adapts to users' language proficiency, providing tailored and comprehensible input. The conversation feature will include speech-to-text support to increase the sense of involvement and engagement of the user in the conversation. An integral feature of the app will be the ability for users to flag unknown words, which will be incorporated into future conversations in various contexts. In addition, the app will provide scenario-based conversation topics for role-playing with the chatbot. Finally, the app will integrate gamification elements, such as points and achievements, to enhance user retention.	22002811	Selim Can	Güler	Ahmet Eren Başak	Halil Altay Güvenir	https://linguistai.app	linguistai@googlegroups.com
68				22001943	Yağız Can	Aslan
69				22002223	İlkim Elif	Kervan
70				22003017	Kardelen	Ceren
71				22003850	Tolga	Özgün
72	T2315	SummarEyes	Our project is a cutting-edge solution for enhancing online meetings and lectures. Leveraging the power of machine learning and computer vision, we aim to detect and track instances when participants become distracted, ensuring that the valuable content is not missed. Our language model then generates comprehensive summaries, complete with topic titles and timestamps, for all the key discussions during those distracted moments. These summaries are invaluable for attendees to catch up and for speakers to gain insights into audience engagement. By providing feedback on when distractions occur most frequently, we empower speakers to deliver more engaging and impactful presentations. This innovation will revolutionize how companies and educational institutions approach online communication, making meetings and lectures more productive and engaging for everyone involved.	21902103	Kürşad	Güzelkaya	Cem Çimenbiçer	Uğur Güdükbay	https://www.summareyes.net/	kursad.guzelkaya@ug.bilkent.edu.tr
73				21902270	Burcu	Kaplan
74				21902512	Süleyman Gökhan	Tekin
75				21903435	Hazal	Buluş
76				22002850	Deniz	Gökçen
77	T2316	IssuePointer	Resolving bug reports is a time-consuming process for developers, and duplicate bug reports lead to wasted time in large projects, especially for developers new to the project. The scope of the project is to aid developers in resolving bug reports by finding similar issues and pointing the developers toward possible solutions. This project scans the source code and extracts data from previous bug reports to find similar issues in the past, if they exist, find code segments that are suspected of introducing the problem in a given bug report, and possibly suggest solutions based on past issues and their solutions. The project will be modular, with multiple frontend modules for version control platforms and integrated development environments (Visual Studio Code, GitHub, etc.). Bug reports are not immediately processed by developers. Hence, we do not have strict time constraints. However, we still need to be computationally efficient because of cost constraints.	22003211	Berkan	Şahin	Eray Tüzün	Eray Tüzün	https://issuepointer.github.io/	serdar.ozata@ug.bilkent.edu.tr
78				22002023	Efe	Yakar
79				21902305	Şeymanur	Kılıç
80				22003245	Alphan	Eker
81				22003113	Serdar	Özata
82	T2317	HubReview	Code reviews are vital to the modern software development flow, ensuring collaboration and quality. It also aids in knowledge transfer, documentation and code consistency. Currently, most code reviews take place on version control platforms such as GitHub, which dominates the market. However, these platforms are very broad in scope and do not prioritize their code review features, resulting in many complaints regarding rigidity, crudeness and lack of features. Many teams are led to seek makeshift, scrappy solutions outside of their platform, such as manually managed review queues. That’s where our new code review platform, HubReview, steps in to address the shortcomings of GitHub’s code review flows while still maintaining tight integration with GitHub’s own platform and UI. By addressing limitations of existing solutions, we aim to provide a more comprehensive, efficient, enjoyable and intuitive code review experience. Furthermore, our platform will remain open-source, in line with the collaborative nature of software development, enabling higher transparency and flexibility.	22002643	Vedat Eren	Arıcan	Mehmet Gök	Eray Tüzün	https://cs49x.hubreview.app/	alper.mumcular@ug.bilkent.edu.tr
83				21902914	Vesile İrem	Aydın
84				21902740	Alper	Mumcular
85				21801879	Ece	Kahraman
86				21902532	Ayşe	Kelleci
87	T2318	True Harvest	True Harvest" is an innovative primarily web application designed to harness GIS technology and image processing for agricultural loan management. This platform empowers farmers and experts by offering geographic data visualization, crop health monitoring through drone and satellite imagery, and a means to ensure efficient and transparent loan usage. Insights and data analysis capabilities help prevent fraud and misuse, ultimately resulting in increased farmer income and sustainability in the agricultural sector. Join this groundbreaking initiative to reshape the future of agricultural finance and resource allocation for a more prosperous and responsible agricultural community.	21802414	Deniz Semih	Özal	Kerem Erikçi	Cevdet Aykanat	https://trueharvest.github.io/	semih.ozal@ug.bilkent.edu.tr
88				22003918	Ağahan	Sözeri
89				21901693	Ömer Faruk	Coşar
90				22003281	Yağız	Alkılıç
91				21703410	Mehmet Ali	Erol
92	T2319	Dermaid	Dermaid is an AI-driven skincare and beauty application designed for all genders. It offers customized product recommendations for skincare, cosmetics, and grooming after scanning your skin. It offers the ability to test products before buying them with virtual try-on features. Dermaid also is a personal skin care tracker, covering everything from products to routines and skincare regimes, ensuring that it is a reliable virtual partner for all skincare needs.	21901283	Saad	Khan	Deniz Katırcıoğlu Öztürk	Sinem Sav	https://dermaid.github.io	saad.khan@ug.bilkent.edu.tr
93				22003049	Emirhan	Büyükkonuklu
94				22002867	Göktuğ	Kuşcu
95				22003072	Hasan Yarkın	Kurt
96				21903708	Edip Kerem	Tayhan
97	T2320	Qrder	We are planning to develop a system where users can easily order food in a restaurant. Our project aims to grant a smoother restaurant experience to its customers. By scanning QR codes, people will be able to order food, request a waiter, see the popular meals and Pay for the meal. With our application, the restaurant will be able to track orders easily and Customers will be able to order and pay for their food smoothly.	21903026	Yahya Eren	Demirel	İlyas Alper Karatepe	Uğur Doğrusöz	qrder-web.vercel.app	cemil.ozdemir@ug.bilkent.edu.tr
98				21902474	Servet	Gülnaroğlu
99				21803303	Cemil Mert	Özdemir
100				21901510	Efe	Karaköylü
101				21902857	Efe Kerem	Kesgin
102	T2321	ContentGuard	The project we aim to create this year is a Twitter content tracker. Our primary purpose is to program a content tracker that helps the user monitor the time spent on a social media platform with an extensive range of content like Twitter. Due to this extensive range, many people spend a lot of time on this kind of platform and need help to control this spent time. Thus, this time can become useless time spent on the flow of the social media platform on the subjects that users did not wish to focus on or research on this platform. To create a solution to this problem, we conceived an idea of a content tracker plugin for Twitter that tracks the users’ browsing habits by category and offers features like filtering the content they choose not to invest their time in while browsing, listing the browsing habits of the user, enabling user to set the maximum time they would like to spend on the platform and restrictions based on categories and keywords. For example, like the commonly used Chrome extension AdBlock’s feature of blocking the ads by removing them from the web page, our program will remove the tweets that the user does not wish to see according to the data our program collects and the preferences of categories they want to not to know the user makes that. Our program aims to enhance the user’s overall online experience and time management by offering a way to control the content they see on the Twitter platform.	21902896	Zeynep Derin	Dedeler	Cem Çimenbiçer	Ayşegül Dündar	https://burakozturk01.github.io/contentguard.github.io/	derin.dedeler@ug.bilkent.edu.tr
103				22001769	İlayda Zehra	Yılmaz
104				21902115	Gülin	Çetinus
105				21892215	Bengisu Buket	Karadoğan
106				21901841	Burak	Öztürk
107	T2322	coded	CODED. is a website application that assists students, tutors, and instructors in CS and CTIS labs throughout the entire lab process. The application has four features: a chatbot, a code analyzer, a test case runner, and a grading bot. The chatbot assistant answers students’ questions related to their code without revealing the "exact" answer but giving clues as to how to reach a possible solution in order to encourage the student to learn. The similarity check feature does a similarity check among codes on Github/sections/all past codes/classes, based on the instructor’s preferred settings. The clean code evaluator checks students’ code quality, gives them feedback on the quality of their code, and helps them in the debugging process. Finally, the test case runner feature does automated tests on student codes to provide an auto-grading system. Overall, CODED. tutors lab students while minimizing the effort of lab assistants and instructors.	22003356	Zeynep Hanife	Akgül	Bora Güngören	Halil Altay Güvenir	https://coded-ai.github.io/coded.github.io/	hanife.akgul@ug.bilkent.edu.tr, beyza.caglar@ug.bilkent.edu.tr, bahar.gundogar@ug.bilkent.edu.tr, selcen.oztunc@ug.bilkent.edu.tr, emre.karatas@ug.bilkent.edu.tr
108				22003394	Beyza	Çağlar
109				22001514	Selin Bahar	Gündoğar
110				22001641	Emre	Karataş
111				21902941	Zeynep Selcen	Öztunç
112	T2323	PriceWise	"PriceWise," is your ultimate shopping assistant for wise customers! PriceWise is more than simply a price comparison shopping list software; it's your key to smart, budget-friendly shopping. Our unique feature allows you to compare costs for specific goods as well as your full shopping list. You'll be able to discover where the money you've spent can go farther, ensuring you never overspend for food or necessities. Prepare to shop smarter than ever before. PriceWise uses artificial intelligence to deliver real-time information on bargains, offers, and alternative product recommendations. Say goodbye to missing out on the best deals, because our AI keeps you informed.	21803632	Deniz Hayri	Özay	Tağmaç Topal	Shervin Rahimzadeh Arashloo	https://cs491-algoriteam.github.io/	tugberk.dikmen@ug.bilkent.edu.tr
113				21703425	Mehmet Ali	Öztürk
114				21902514	Furkan	Yıldırım
115				21902316	Mete	Arıkan
116				21802480	Tuğberk	Dikmen
117	T2324	Impartial News	We need to remain impartial right? Impartial will obtain and categorize news from various sources so that people can view the articles they want from the perspective they choose. But Impartial will also do more than mere classification. This powerful website will be able to transform articles from one perspective to another without needing the work of an editor. From a supplied article, say written from a left perspective, and write it in other perspectives such as center and right. Impartial’s vision is to foster a more balanced, informative, and nuanced media landscape, bridging ideological gaps, and encouraging a richer understanding of the world's issues	22003932	Eren	Duran	Selma Kasap	Halil Altay Güvenir	https://site.newsimpartial.com/	cem.gulumser@ug.bilkent.edu.tr
118				21901576	Aslı	Karaman
119				22001849	Nisa	Yılmaz
120				22003430	Mustafa Cem	Gülümser
121				22002692	Murat Güney	Kemal
122	T2325	Contenta	We aim to design a mobile application that detects potentially harmful substances (such as aspartame, monosodium glutamate or E621) in the packaged food products by scanning the ingredients section with their mobile phone’s camera. Users will have a chance to personalize their experience if they enter their information about their allergies, height, and weight. Thus, our application will be able to identify which substances in the product content are allergens and what type of complications they may cause to the user. We are also considering using appropriate language processing algorithms to prevent faults (lack or misinterpretation of letters) during scanning process due to wrinkles and folds on the packages. Although we initially planning to develop our application in Turkish and/or English, we aim to provide this service for many popular languages with a simple translation API.	22003617	Barış Tan	ÜNAL	Tağmaç TOPAL	Fazlı CAN	https://contentateam.github.io	tan.unal@ug.bilkent.edu.tr
123				22003747	Mert	ÜNLÜ
124				22002187	Alperen Utku	YALÇIN
125				21902683	Oğuz	KUYUCU
126				21901413	Ömer Oktay	GÜLTEKİN
127	T2326	CapyNotes	Our innovative note-generating application aims to streamline the note-taking process during lectures, meetings, and a wide range of audio-visual content. Users can simply input audio or video recordings, and our app will automatically generate structured notes, complete with subsections, timestamps, and integrated visuals from whiteboard images or web resources. It goes beyond educational use, extending its utility to business meetings, media tracking, and diverse audio-video recordings. By offering this versatile solution, we enable users to maintain focus on the content while effortlessly producing comprehensive notes, transcending traditional note-taking methods.	22002675	Berk	Temel	Mustafa Sakalsız	Fazlı Can	capynotes.github.io	can.ersoy@ug.bilkent.edu.tr
128				22003216	Can	Ersoy
129				21901913	İsmail Emre	Deniz
130				21901556	Kemal Kubilay	Yılmaz
131				22003609	Mustafa Burak	Erkoçak
132	T2327	Capsule	Capsule is a mobile wardrobe solution powered by image processing and machine learning. With Capsule, users can track when and what they wear and get recommended outfits according to user preference and clothing item matching. By tracking user’s clothing preferences, we will be able to recommend them outfits but also recommend them to sell certain items since they haven’t been worn in a while. In addition to the core feature, Capsule will also provide a platform for users to discuss and set dress codes for events they are attending with their friends.	22003530	Deniz Mert	Dilaverler	Ahmet Kara	Hamdi Dibeklioğlu	https://algoritma-arkadaslari.github.io	mert.dilaverler@ug.bilkent.edu.tr
133				22003158	Ceren	Akyar
134				22003229	Alp	Afyonluoğlu
135				22002379	Mehmet Kağan	İlbak
136				22003186	Ali Emir	Güzey
137	T2328	CI/CD Plumber	CI/CD pipelines are a fundamental aspect of modern software development, especially when working with GitHub projects. GitHub Actions is one of the most popular tools for constructing these CI/CD pipelines. However, configuring these pipelines using GitHub Actions can often be a challenging task. Developers frequently encounter issues while setting up their CI/CD workflows, leading to frustration and valuable time spent debugging configuration files and logs. In the realm of CI/CD tools, which are widely adopted across the software development community, there's a growing need for a specialized solution that addresses common configuration issues—a tool that stands out as a practical "CI/CD smell finder." This is where CI/CD Plumber steps in. CI/CD Plumber is an innovative application designed to streamline and simplify the configuration of CI/CD pipelines within GitHub Actions. It leverages your latest CI/CD pipeline configuration files and logs to identify and debug potential issues, making the setup process significantly more efficient. What sets CI/CD Plumber apart is its unique ability to provide comprehensive insights into your pipeline's configuration. It not only assists in resolving issues but also offers a detailed analysis. This analysis covers various criteria, including code cleanliness and security, providing users with valuable feedback and a performance rating for their CI/CD pipelines. With CI/CD Plumber, you can ensure that your GitHub project's CI/CD pipeline is not just functional but also optimized for best practices, all while saving you time and effort.	21901898	Utku Boran	Torun	Eray Tüzün	Eray Tüzün	https://ci-cd-plumber.github.io/	boran.torun@ug.bilkent.edu.tr
138				22002580	Kaan Berk	Kabadayı
139				22002609	Mehmet Onur	Uysal
140				22003439	Yarkın	Sakıncı
141				22002701	Uğur Can	Altun
142	T2329	Block Script	A visual programming language designed for educational purpose. This language will allow the users to design a website user interface and the client side logic using visual blocks. The language will gamify the web development process and make it interesting. The target audience of this language will be elementary school and middle school students and children in that age range. The visual block design will then be exported to HTML, CSS and JS files.	21903613	Khashayar	Amini	Muhammed Naci Dalkiran	Can Alkan	bscript.whiteraven.one	khashayar.amini@ug.bilkent.edu.tr ikbal.dogan@ug.bilkent.edu.tr goksu.senerkek@ug.bilkent.edu.tr kaan.ornek@ug.bilkent.edu.tr
143				21803341	Goksu	Senerkek
144				21901637	Mehmet Kaan	Ornek
145				21702990	Muhammed Ikbal	Dogan
146	T2330	vendAR	vendAR is an online shopping platform that utilizes Augmented Reality/Hyper Reality. Primary goal of utilizing AR/HR is to let buyers visualize the object in their houses to shorten the measurement process. Users will be able to manipulate the transform of the AR objects to place it wherever they need to. vendAR's innovative use of Augmented Reality and Hyper Reality not only simplifies the measurement process but also enhances the overall shopping experience. By allowing users to interact with and manipulate AR objects within their own living spaces, vendAR bridges the gap between online and physical shopping, encouraging customers to make more informed purchasing decisions.	22003550	Mehmet Feyyaz	Küçük	Cem Çimenbiçer	Uğur Güdükbay	https://mfkucuk.github.io/vendAR/	feyyaz.kucuk@ug.bilkent.edu.tr
147				22001983	Ender	Utlu
148				22003271	Deniz	Çelik
149				22001422	Parsa	Keihan
150				22002478	Ege	Ayan
151	T2331	AnnoHub	A data labeling tool (available as a SaaS product) for all forms of supervised machine learning tasks with an emphasis on data privacy and with the vision of turning data labeling into a new side income channel for individuals.	22002693	Emirkan	Derköken	Ahmet Kocamaz	Shervin Rahimzadeh Arashloo	https://annohub.github.io/about	annotation.hub@gmail.com.tr
152				22002194	Onurcan	Ataç
153				22003359	Bora	Yılmaz
154				22002182	Dağhan	Ünal
155				21902719	İlker	Özgen
156	T2332	Automated Gathering and Evaluating of Automobile Behavior	The main aim in this project is to create driving profiles of drivers so that companies such as Trendyol, Migros, MNG Kargo can have detailed information about the drivers. In this way, companies will be able to evaluate their drivers' driving and see which route the vehicle is traveling on. We aim to provide users/customers with information about the driving of company vehicles through parameters by which vehicle usage can be evaluated, such as tracking vehicle fleets, driving analysis and driver profiling using Arduino or other embedded systems. By using ready-made modules that assist GSM/GPRS signals and measure acceleration/inclination/G force, we aim to obtain the necessary information about driving from the embedded system and establish the necessary connections with the remote computer to send this information to the data processing stage. The received driving information is analyzed and classified by artificial intelligence algorithms on the remote computer. The new driving analysis is reused during the artificial intelligence algorithm training phase to be used in later analyses, thus making the online learning cycle continuous. Analysis results are included in the database to be displayed in the mobile application. Past driving and instant driving information analyzed as a result of the processed data can be followed by the user with the mobile application we will develop. More than one vehicle and driving information can be observed on a single screen at the same time.	21901798	Gökberk	Altıparmak	Perin Ünal	Uğur Güdükbay	https://yberdem.github.io/	g.altiparmak@ug.bilkent.edu.tr
157				21802887	Asım Bilal Ak
158				21801799	Alp Tuğrul	Ağçalı
159				21903488	Emrehan	Hoşver
160				21801863	Yüksel Berkay	Erdem
161	T2333	JobTalk	JobTalk is a cloud-based cross-platform mobile application designed for companies and startups that evaluates candidates’ performance in various fields, such as sentiment analysis, language proficiency, self-expression, and communication skills. The application ensures a fair evaluation process for all candidates by eliminating human bias through the machine learning model trained to assess candidate skills regardless of appearance, background, or ethnicity.	22003175	Barış	Yıldırım	Alper Sarıkan	Shervin R. Arashloo	Jobtalk.com.tr	elifsena.oz@ug.bilkent.edu.tr
162				22003250	İpek	Öztaş
163				22002802	Emre	Uğur
164				22003306	Ahmet Tuğrul	Sağlam
165				22002245	Elifsena	Öz