	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	T2401	ReMediCard.io	ReMediCard.io is an AI-powered flashcard application designed to ease the burden of memorization for medical students. Unlike existing apps that require manual flashcard creation, our solution uses computer vision and machine learning to automatically generate flashcards from students' lecture notes, videos, and figures. By leveraging the powerful flashcard retrieval technique, it ensures effective learning and adapts to each user's needs based on their progress and quiz performance, making studying more efficient and personalized.	22002239	Ömer Fırat	Bekiroğlu	Aras Bilgen	Özgür Ulusoy	https://bilkentceleste.github.io/ReMediCard.io/	erdem.tanyeri@ug.bilkent.edu.tr
4				22002408	Cenk Merih	Olcay
5				22003016	Faruk	Uçgun
6				22002401	Enes	Bektaş
7				22003537	Akif Erdem	Tanyeri
8	T2402	Plutos Equities	Plutos aims to provide an advanced capital forecasting solution for the top companies on the Nasdaq. By analyzing historical data, market trends, and news articles, Plutos uses machine learning models to predict financial performance for the upcoming quarter, offering investors and financial analysts valuable insights. The project’s unique approach combines data collection, feature engineering, and model ensembles to deliver a comprehensive quarterly financial preview.	22103277	Uygar	Aras	Eren Biri	Halil Altay Güvenir	plutosequities.xyz	alara.zeybek@ug.bilkent.edu.tr
9				22102544	Alara	Zeybek
10				22103729	Asım Adil	Can
11				22101850	Gün	Taştan
12				22102310	Emre	Akgül
13	T2403	Reviewed	Did you know that 25% of the time spent on a PR is waiting. These waiting times cause missed deadlines and cost thousands of dollars to companies. To clear this obstacle in the way of productivity, we present Reviewed. Reviewed is an AI-powered tool that transforms the pull request review process, helping development teams work smarter and faster. Using state-of-the-art language models Reviewed is a tool designed to shorten the amount of time wasted on code reviews. After a code review has been made, our tool automatically generates refined code suggestions based on reviewer comments, allowing reviewers to instantly see high-quality, AI-driven solutions based on the feedback they provide. This reduces the need for manual back-and-forth as reviewers can approve these AI-suggested changes directly, streamlining the process and removing unnecessary waiting times between actors. By minimizing the gap between author revisions and reviewer approvals, Reviewed eliminates common bottlenecks, allowing your team to focus on coding rather than waiting.	22102278	Ahmet Kaan	Sever	Mert Kalender	Eray Tüzün	https://deeployed.vercel.app/solutions/reviewed	tunahan.isik@ug.bilkent.edu.tr
14				22103034	Ali Tunahan	Işık
15				22102313	Atakan	Şerifoğlu
16				22101791	Konuralp	Kılınç
17				22102248	Serhan Can	Bayri
18	T2404	Compedia	The project aims to develop a platform where companies have profiles that contain both the basic information about the company and the complex details about their service portfolio, industry, past collaborations, etc. These profiles will be processed to enable efficient searchability through natural language queries. The platform targets business-to-business relations, helping companies (clients and providers) find each other based on basic and complex attributes.	21901880	Anıl	Altuncu	Emin Okutan	Uğur Doğrusöz	https://bilkent-senior-project-group.github.io/compedia/	anil.altuncu@ug.bilkent.edu.tr
19				22003503	Ece	Beyhan
20				22003856	Yaşar	Tatlıcıoğlu
21				22002537	Serhat	Yılmaz
22				22101640	Bartu	Albayrak
23	T2405	Architexts	Architexts is a comprehensive AI tool designed to simplify the maintenance and usage of legacy software code written in a specific programming language such as COBOL. It uses advanced technologies such as NLP and LLM to generate and update inline and method-level code documentation and comments automatically. The project provides clear visual summaries of complex code, high-level overviews of system architecture, and graphs such as call graphs, flow charts, UML, and high-level architectural diagrams. Users can access the visual aids and documentation generated by our system with an IDE integrated chatbot. Navigating code and documentation is made easier with the conversational chatbot interface. Additionally, Architexts scans the code to give meaningful names to variables and methods according to their context. It enables older software version checks which allows the user to track down how the code evolved over time. Architexts enhances accessibility and usability, making it easier for developers to grasp, maintain, and integrate older software systems with contemporary technologies, ensuring that legacy software systems remain functional and relevant in modern development environments.	22003988	Aytekin	İsmail	Ömercan Devran	Eray Tüzün	https://architexts.github.io/	aytekin.ismail@ug.bilkent.edu.tr
24				22002908	Ece	Ateş
25				22002682	Izgi Nur	Tamcı
26				22002913	Zehra	İyigün
27				22003880	Zeynep Begüm	Kara
28	T2406	Recruit4Me	The project concentrates on simplification of the hiring processes for IT personal through a new application. The app will process CVs using AI methods to extract information about skills and experiences which is then used for assessing candidates quickly. When businesses sign up for the implementation, they will disclose what their sector is so that questions associated with industry-relevant needs can be generated through the app. Several business and skill related questions will be asked and speech recognition will be used to testify the correctness of the answers. Finally, this app also allows to interview with the candidates.	22003416	Mehmet Ege	Kayaselçuk	Burçin Didineden	Fazlı Can	recruit4me-46847.web.app	bahadir.gunenc@ug.bilkent.edu.tr
29				22101007	Kenan	Zeynalov
30				22003672	Bahadır	Günenc
31				22003108	Musa Yiğit	Yayla
32				22103449	Burak Efe	Öğüt
33	T2407	Lesion Lens	Doctors are over worked. Our software automatically analyzes MR images of the spine and brain to detect, count, and track (over time) lesions, saving doctors time, reducing workload, and improving diagnosis accuracy. The analysis is presented as an interactive 3D model, accessible directly on our web app, enabling faster and more accurate decision-making from anywhere.	22001293	Berk	Özkan	Alper Sarıkan	Uğur Güdükbay	https://scorpia2004.github.io/LesionLensWeb/	berk.ozkan@ug.bilkent.edu.tr
34				22101734	Mert	Fidan
35				22101882	Emir Kerem	Şahin
36				21802354	Arda	Baktır
37				22101343	Muhammad Shayan	Usman
38	T2408	PresentSense	PresentSense is an AI tool designed to aid academics, students, and other public presenters in improving and honing their presentation techniques. The assistant uses modern technologies like computer vision and machine learning. The project allows users to select their preferred presentation style, considering their time limits and preferences, and upload their presentation document, before beginning presentation analysis. Subsequently, to provide post-presentation feedback, the speech is aligned with the presentation document that the user uploads while the speaker's tone, speech patterns, and facial expressions are analyzed and evaluated. As a result, it assists users in enhancing their delivery, which includes modifying their tone, gestures, and slide content. By analyzing the feedback that presenters receive after submitting their presentations to the system, this program provides them with customized recommendations to enhance the overall impact of their presentations	21902498	Aysema	Kasap	Cem Çimenbiçer	Sinem Sav	https://presentsense.github.io/presentsense/	berkay.akkus@ug.bilkent.edu.tr
39				21903321	Berkay	Akkuş
40				22002940	Tuna	Okçu
41				22003944	Emre Melih	Güven
42				21902781	Sarper Arda	Bakır
43	T2409	Paper-Citadel	Our senior project focuses on developing a more user-friendly conference management system designed to simplify the submission and review process for academic conferences. While offering features similar to EasyChair, HotCRP, and OpenConf, our system stands out with improvements in usability, LLM fraud detection, and more detailed statistics about users and reviewers. The system allows for easy management of conference series, multi-track events, and shared program committees, while adding tools like reviewer recommendations, customizable profiles, and advanced filtering options. It’s designed to meet the evolving needs of academic conferences, offering flexibility and detailed insights for organizers.	22003569	Abdurrahman Bilal	Kar	Muhammed Naci Dalkıran	Can Alkan	https://github.com/brkye/Paper-Citadel	berkay.aycicek@ug.bilkent.edu.tr
44				22103189	Atilla Emre	Söylenmez
45				22003111	Berkay	Ayçiçek
46				22003153	Ahmet Memduh	Tutuş
47				-	-	-
48	T2410	Diabetaid	DiabetAid is a machine learning-powered clinical decision support system (CDSS) designed to assist doctors in delivering personalized care for diabetes patients. By analyzing key patient data, the system provides tailored treatment suggestions, such as medication adjustments. DiabetAid empowers healthcare professionals with actionable insights to enhance decision-making, complementing their expertise without replacing it. Continuously evolving through collaboration with medical experts, DiabetAid ensures alignment with clinical practices and real-world healthcare needs. The system aims to improve patient outcomes by making diabetes management more efficient, data-driven, and personalized.	22003508	Çağatay	Akpınar	Deniz Katırcıoğlu Öztürk	Halil Altay Güvenir	https://cakpinar1.github.io/diabetaid_website/	cagatay.akpinar@ug.bilkent.edu.tr
49				22102677	Sude	Topaloğlu
50				22103838	Begüm	Kunaç
51				22103071	Osman Berkay	Artaç
52				22003595	Yamaç Yiğit	Ozan
53	T2411	Cerasus	Cerasus is a tool for ordinary people who want to dive into the cryptocurrency world but need help knowing where to start and making good decisions. We will design and implement a system that will give general news and information tailor-made to the user’s needs, making earning from cryptocurrency more prominent and easier. Our scope lies in multi-model machine learning and making these models complementary to each other so that users can have more dependable results. For our first model, we will develop a deep learning model, making predictions from the price changes in the cryptocurrency market and the transaction fees, determining what would happen to the prices of cryptocurrencies soon. Moreover, we will back up this approach with our sentiment analysis model, where we will look up some news or important figures’ tweets and feed them into our model to decide on their possible effect on the market. This approach will enable us to be involved in worldwide events that can positively or negatively impact the cryptocurrency market. Cerasus will give users two options: they can either sell, buy, or hold coins depending on our model suggestions manually from our website’s built-in platform or go with the automatic trading bot option where the model will make decisions specific to the user, optimizing the risk and gain factors. Either way, Cerasus will be its user’s finance buddy, analyzing the latest changes and news, predicting what to expect, and helping you make more informed decisions and increase your profits.	22002491	İdil	Atmaca	Haluk Altunel	H. Altay Güvenir	https://birinnnn.github.io/CerasusWeb/	idil.atmaca@ug.bilkent.edu.tr
54				22002633	Atika Zeynep	Evmez
55				22002044	Anıl	İlağa
56				22003981	Deniz	Sun
57				21903048	Göktuğ	Yılmaz
58	T2412	variant-net	variant-net is an AI-powered platform designed to assist geneticists and medical professionals in diagnosing genetic conditions. By analyzing patient DNA sequences and provided phenotypic information, variant-net identifies potential gene-disease associations, streamlining the process of uncovering underlying genetic factors. Our goal is to empower medical experts with cutting-edge tools that enhance accuracy and efficiency in genetic diagnostics, contributing to the advancement of personalized medication and treatment.	22002105	Ahmet Berke	Gökmen	Abdullah Ercüment Çiçek	Abdullah Ercüment Çiçek	https://variant-net.github.io	tuna.onguner@ug.bilkent.edu.tr
59				22003506	Mahmut Mert	Gençtürk
60				22002717	Arda	İynem
61				22003814	Hasan Ege	Tunç
62				22001788	Deniz Tuna	Onguner
63	T2413	Signify	Signify is an innovative mobile app designed to make learning sign language easy, engaging, and accessible for everyone. Our mission is to promote inclusivity and bridging communication gaps. Signify offers a fun and interactive experience through gamified lessons, point-based rewards and streaks that keep users motivated. Moreover, what differentiates us from our competitors is the fact that our product is bilingual. It will be designed to teach both Turkish and American sign language, making it more inclusive. Another standout feature of the app is its automated hand gesture recognition technology, which allows users to practice signs using their device’s camera and real-time feedback is given. By using real-time feedback, the app enhances the learning process and makes it an immersive experience. Our app is designed for anyone, from professionals in education and healthcare to individuals that want to connect with the signer community. With Signify, we aim to make sign language more accessible and the learning process more enjoyable, building a world where communication knows no barriers.	22102100	Dila	Tosun	Cem Çimenbiçer	Uğur Güdükbay	https://projectsignify.my.canva.site/	dila.tosun@ug.bilkent.edu.tr
64				22102315	Özgür	İkidağ
65				22103590	Deniz	Polat
66				22102760	Bengisu	Serinken
67				22103044	Zeynep Su	Uçan
68	T2414	Envisio	Envisio is a mobile app designed to redefine how you organize and enhance your photo albums. Whether it's a family trip, a special event, or a daily snapshot, Envisio seeks to help you find, organize, and collect your memories effortlessly. Through AI technologies, the app aims to sort your photos into customizable albums. It helps you find the best shot from similar photos by assessing each photo based on its quality. The app also offers to automate gallery cleaning. Furthermore, you can easily tune your background by clearing away any unnecessary elements or adding missing details. Perfect for anyone looking to declutter their digital photo collection and keep their memories organized, all in one place.	22002359	Erdem Eren	Çağlar	Ahmet Kara	Hamdi Dibeklioğlu	envisio-app.github.io	elif.konuk@ug.bilkent.edu.tr
69				22101920	Doğa Elif	Konuk
70				22101934	Öykü	Demir
71				22003693	Mehmet Emre	Kantaş
72				22101911	Doruk	Işık
73	T2415	Sentiment-Aware Journaling Web App	Our Sentiment-Aware Journaling Web App aims to support users in reflecting on their daily emotions and experiences through an innovative approach combining journaling and conversational AI. The app includes two core sections: a freeform journal entry feature where users can document their feelings and thoughts, and a chatbot interface that engages users in conversation about their day. Both inputs are analyzed using natural language processing techniques to provide a detailed sentiment summary of the day. The app helps users identify recurring emotions or patterns in their thoughts, alerting them to trends that may require attention, such as ongoing anxiety or positivity shifts. Additionally, after each daily log, the app offers personalized suggestions, such as relaxation exercises or motivational activities, aimed at improving the user's mental well-being.	22103809	Doğa	Özdemir	Ahmet Algın	Özgür Ulusoy	https://metenes.github.io/CS491_static_website/	doga.ozdemir@ug.bilkent.edu.tr
74				22102447	Zeynep	Baş
75				22102849	Mete Enes	Yılmaz
76				22003923	Melisa İrem	Akel
77				22002275	Mustafa Kağan	Özsoy
78	T2416	LearnSmart	LearnSmart is a web application designed to enhance students' academic performance through advanced learning tools. By incorporating technologies such as LLMs, LearnSmart helps students grasp course materials more thoroughly by offering explanations on a page-by-page or holistic basis for study resources like textbooks, slides, and syllabi. Interactive features like flashcards, quizzes, and custom study schedules help students stay organized and improve retention. Learnsmart will also offer statistics that will help students analyze their work; for example, from the time that students took the course, a graph of overall success will be displayed. Moreover, recharge tests based on what the student has done wrong will be recommended to the student. Moreover, features will include a skill tree model, which generates subject-based skill trees that evolve as students complete quizzes, and a report-project checker that verifies the alignment of reports with projects using data from public GitHub repositories. LearnSmart will be an extensive framework integrating multiple tools, including the skill tree and report-project checker, to support student learning.	22003206	Cahit Ediz	Civan	Tuğba Kınaoğlu Kılıç	Doruk Öner	https://inek-arkadaslari.github.io/learnsmart-project-site/#	efe.kaan.fidanci@gmail.com
79				22003214	Görkem Kadir	Solun
80				22102505	Murat Çağrı	Kara
81				22102589	Efe Kaan	Fidancı
82				22103163	Bilginer	Oral
83	T2417	Raporla.ai	Raporla is an AI-driven solution designed to facilitate the reporting process for doctors. The system utilizes speech-to-text technology fine-tuned specifically for Turkish doctors, automating and streamlining the report creation process. Also the system will assist doctors in preliminary diagnosis through checking medical database articles and patient reports that are relevant to the generated report.	22103341	Ali Cevat	Erçal	Özer Çelik	Salih Özgür Öğüz	https://raporla-ai.github.io/	efe.tokar@ug.bilkent.edu.tr
84				22103759	Kerim	Eren
85				22102918	Ömer Amir	Akdağ
86				22103111	Göktuğ Serdar	Yıldırım
87				22103299	Efe	Tokar
88	T2418	YOLLA	Yolla is a mobile and web-based cargo marketplace designed to simplify the process of finding, comparing, and booking cargo services in Türkiye.Users can easily search for cargo options based on location, size, weight, and delivery time while comparing prices and services from multiple providers.The platform offers comprehensive service provider comparisons using various filters, real-time package tracking, and notifications, ensuring a smooth and user-friendly experience.With its responsive design, Yolla targets individual customers and SMEs by offering transparency, convenience, and efficiency in cargo delivery. Yolla aims to make cargo logistics accessible to everyone with the best price.	22102144	Elif	Şen	Sinan Sarıoğlu	Can Alkan	https://yolla-tech.github.io/yolla.github.io/	elifs@ug.bilkent.edu.tr
89				22102198	Halil	Tataroğlu
90				22102692	Eslim Rana	Emiroğlu
91				22102498	Celal Salih	Türkmen
92				22101018	Sadra	Mohammadzadehazarabadi
93	T2419	SürDur	This project aims to create a more engaging and personalized road trip experience for drivers who want to make their journeys more enjoyable while reducing errors caused by fatigue or lack of attention. To achieve this, we will develop an AI-powered travel assistant application that suggests personalized stopovers, such as attractions or dining options, on the user's selected route and allows dynamic updates to enhance flexibility and convenience.	22101852	Bora	Haliloğlu	Aras Bilgen	Fazlı Can	https://sur-dur.github.io/SeniorProject/	burak.oruk@ug.bilkent.edu.tr
94				22102443	Burak	Oruk
95				22003165	Emir	Tuğlu
96				22102936	Gökalp	Gökdoğan
97				22102377	Tevfik Emre	Sungur
98	T2420	On The Shelf	On the Shelf is a mobile app aimed at transforming how we manage groceries and reduce inefficiencies in the kitchen. By intelligently tracking household items and learning from user habits, the app helps prevent food waste by making smarter consumption forecasts and offering practical meal suggestions based on available ingredients. With features like automatic shopping lists and personalized insights into spending and usage patterns, On the Shelf empowers users to make informed decisions, reducing overbuying and waste. The app is designed to streamline daily grocery management, creating a more organized, waste-conscious, and collaborative experience for individuals and families alike.	22103295	Defne	Gürbüz	İlyas Alper Karatepe	İbrahim Körpeoğlu	https://ebuyukkonuklu.github.io/OnTheShelf-website/	defne.gurbuz@ug.bilkent.edu.tr
99				22103772	Ümmügülsüm	Sümer
100				22101848	İrem	Hafızoğlu
101				22003354	Gülbera	Tekin
102				22003049	Emirhan	Büyükkonuklu
103	T2421	TradeBlocs	TradeBlocs is a crypto-trading platform that empowers users to seamlessly engage with BtcTurk markets. With an on-paper trading feature, users can simulate market trades and evaluate their strategies before commiting with their BtcTurk wallets. Moreover, TradeBlocs redefines accessibility in algorithmic trading with a powerful no-code interface where users are able to build, customize and deploy their own trading bots in real markets, either on-paper or with their wallets without any need for coding experience	22102159	Enis Kerem	Çakmak	Reha Yurdakul	Can Alkan	tradeblocs-deliverables.xyz	kerem.cakmak@ug.bilkent.edu.tr
104				22102842	Ali Deniz	Ünal
105				22103523	Bartu	Mumcu
106				22101462	Tuna	Bozkurt
107				22102354	Berk	Sara
108	T2422	Article Lens	Introducing our AI-powered research assistant designed to streamline your academic journey and keep you ahead in your field. Our platform offers a personalized newsletter that sifts through thousands of daily arXiv papers based on your selected categories and specific queries, delivering tailored summaries with customizable sections to match your research interests. We rank papers using a sophisticated scoring system that considers authors' credentials and paper quality, ensuring you receive the most impactful studies. Additionally, our Research Guide feature provides an optimal reading path for any topic or article you choose, ranking references by relevance, citation count, and complexity level to guide you from foundational knowledge to advanced insights efficiently. Stay informed and enhance your research workflow with our intelligent, user-centric tool.	22103242	Eray	Yapağcı	Murat Kalender	Sinem Sav	https://article-lens.github.io/main-site/	eray.yapagci@ug.bilkent.edu.tr
109				22002948	Alper	Göçmen
110				22003168	Mehmet	Dedeler
111				22003325	Mustafa Berkan	Yıkılmaz
112				22102314	Serra	Çapraz
113	T2423	Evalio	This exam database and management application provides modular exam creation and management for universities and institutions. It allows instructors to create exams and tests from a shared, searchable question database that supports multiple courses. The system tracks question usage, supports editing, versioning, and retirement, and offers export options such as LaTeX, Google Docs, and PDF. It provides detailed analytics on question performance to create balanced assessments. It can also be extended as a system for assignments and quizzes. It will provide secure access and resource sharing between instructors and departments with multi-university collaboration support and authentication. It also offers a Portfolio Builder and Analysis Tool where TAs can upload scans of student work (best, average, worst), attendance lists, grading lists (SAPS export), and exam seating plans, with automatic grade range calculations and course summary forms.	22002306	Eren Hayrettin	Arım	Can Alkan	Can Alkan	https://evalio-f5045.web.app/	hayrettin.arim@ug.bilkent.edu.tr
114				22101643	Dilara	Mandıracı
115				22002299	Ahmet Reşat	Demir
116				22003396	Mehmet Burak	Demirel
117				22002885	Yusuf	Toraman
118	T2424	LendLand	Imagine being able to invest in one of the most secure and profitable assets—real estate—without needing enormous capital. Our platform makes this possible by dividing property ownership among multiple investors, enabling fractional ownership. No longer do you need to save for years to break into this market—the door to real estate investment is now open for everyone! By leveraging blockchain technology, we ensure that each investor’s share is securely tracked and protected, offering an accessible, transparent, and safe way to invest in real estate.	22002722	Eren	Karakaş	Cemil Türün	Uğur Güdükbay	https://lend-land.github.io/LendLand/	eren.karakas@ug.bilkent.edu.tr
119				22003465	Emrehan	Ateş
120				22003105	Fırat Utku	Gül
121				22003287	Mehmet Emre	Güneş
122				22002414	Serhat	Merak
123	T2425	Fonetika	Our project is a mobile application designed to enhance speech clarity and pronunciation for Turkish speakers. Using AI-driven analysis, the app provides personalized feedback on common speaking habits, such as syllable stretching, mispronunciations, or misplaced emphasis. By converting spoken words into International Phonetic Alphabet (IPA) text, it highlights areas for improvement and offers targeted exercises to refine pronunciation, pacing, and clarity. With progress tracking and continuous feedback, the app is a valuable tool for professionals who rely on effective communication, ensuring users develop clear and confident speaking skills in Turkish.	22002766	Habibe	Yılmaz	Levent Arslan	Altay Güvenir	https://www.fonetikapp.com/	habibe.yilmaz@ug.bilkent.edu.tr
124				22003782	Elif	Sorguç
125				22002591	Ayşegül	Yıldız
126				22003194	Beyza	Ural
127				22003308	Dilara	Kıymaz
128	T2426	CheckMate	In a world where misinformation spreads faster than ever, how can we ensure that what we read online is accurate and trustworthy? Introducing CheckMate: your mate in checking the truth. As we increasingly rely on social media for news, it's crucial to have a tool that identifies potential misinformation and flags questionable content in real time. CheckMate not only analyzes articles for misleading information but also assigns a reliability score based on source credibility and factual accuracy. Moreover, it offers insights into the political leanings of articles, helping users discern bias and make informed judgments. In an era where fact-checking is predominantly done by individuals not by AI, often too slowly to keep pace with the flood of information, CheckMate stands as a vital ally in the fight for truth.	22103246	Alp Batu	Aksan	Yasin Bostancı	Cevdet Aykanat	https://checkmate-ext.github.io/	checkmatextest@gmail.com
129				22103675	Ayberk Berat	Eroğlu
130				22103939	İpek	Sönmez
131				22102409	Pelin	Öner
132				22102127	Efe Tuna	Can
133	T2427	Graidly	Our capstone project focuses on developing an advanced Automated Grading and Feedback System using Large Language Models (LLMs) to assist in evaluating university quizzes, midterms, and finals. Inspired by recent innovations, our system will incorporate rubric generation, accurate grading, and post-assessment feedback. The app will ensure consistent, fair, and unbiased results, providing personalized feedback to enhance student learning. Operating on a local server, the system will integrate a human-in-the-loop review process with instructors and TAs, streamlining the grading workload while maintaining high accuracy and fairness.	22002783	Umut	Aktaş	Haluk Altunel	Anıl Koyuncu	https://team.graidly.com/	kerem.tekik@ug.bilkent.edu.tr
134				22002730	Kerem	Tekik
135				22003330	Sarp	Yıldırım
136				22001859	Deniz	Aydemir
137				22003920	Yavuz Selim	Sarıbaş
138	T2428	Satonic	The Ordinals Auction System project aims to develop an innovative marketplace for Bitcoin Ordinals, leveraging Citrea, a Bitcoin rollup with a trust-minimized bridge. Ordinals function similarly to NFTs, tied to satoshis on the Bitcoin blockchain, but existing auction systems for them face usability challenges due to Bitcoin's script limitations. This project seeks to overcome those limitations by integrating the EVM ecosystem through Citrea, enabling seamless and efficient trading for collectors and traders. With a full-stack development approach, the project holds the potential to not only simplify Ordinals trading but also set the foundation for future innovation in Bitcoin-based digital assets.	21902246	Mehmet Berşan	Özgür	Ömer Talip Akalın	Özgür Ulusoy	https://github.com/bitcoin-ordinals/satonic	bersan.ozgur@ug.bilkent.edu.tr
139				22002932	Ali Kaan	Şahin
140
141
142
143	T2429	The Ciftlik	This farm management system combines crop feasibility analysis and IoT-based real-time monitoring to help farmers optimize their operations. It uses machine learning to recommend crops based on environmental factors and simulates farm performance, while IoT devices automate tasks like irrigation and provide real-time recommendations. The system bridges future planning with day-to-day farm management, making farming more efficient and accessible.	21901649	Mehmet Hasat	Serinkan	-	İbrahim Körpeoğlu	https://info.theciftlik.com	hasat.serinkan@ug.bilkent.edu.tr
144				22001954	Mehmet Eren	Balasar
145				22001795	Zeynep Naz	Sevim
146				22002398	Ahmet Emir	Boşnak
147				22002019	Ozan Can	Gülbaz
148	T2430	InvestmentHelper-AI	The essence of the project is to provide users with a comprehensive finance companion. The companion will include a chatbot, that the users can interact with and ask comparative questions about the past and current state of the market. Also, through the chatbot, the users can enter the context of the news that they want to be notified about in real-time (e.g “Tell me when interest rate changes.”), then, financial news from the web will be analyzed and relevant notifications will be sent to users when detected. The live analysis of financial news, that will allow us to notify the users such that the users will be able to have an initiative regarding their financial portfolio, will be established through advanced Time-Dependent Knowledge Graph based RAG pipelines utilizing LLMs. The news that will be used will be scraped from the web, from reliable sources of finance. The companion will also provide stock predictions based on sentiment analysis of financial news and past numerical data, recognize current trends based on current and past context of the market, and allow technical financial analysis on graphical representation of various stocks. The tool will utilize artificial intelligence for the functionalities defined above.	22102293	Mehmet Onur	Özdemir	Murat Kalender	Özgür Salih Öğüz	https://investmenthelper-ai.github.io/officialwebsite/index.html	mehmetonur@ug.bilkent.edu.tr
149				22102512	Hakan	Muluk
150				22102436	Emir Şahin	Dilli
151				-	-	-
152				-	-	-
153	T2431	Smart Vector Query	Smart Vector Query (svq.ai) is an AI-powered platform that enables users to query and interact with integrated document repositories through a natural language chatbot interface. Leveraging Retrieval Augmented Generation (RAG), it ensures that responses are grounded directly in the content of these sources, minimizing hallucinations and enhancing accuracy. With semantic search capabilities and customizable filters, svq.ai streamlines access to relevant information, enabling rapid and precise extraction of insights across sectors such as regulatory compliance, legal services, financial operations, and academic research. This solution optimizes workflows by delivering reliable, real-time answers based on the specific data within the connected documents, driving more informed decision-making.	22101335	Mehshid	Atiq	John Yuzdepski	Uğur Doğrusöz	https://svq-ai.pages.dev/	mehshid.atiq@ug.bilkent.edu.tr
154				22101023	Muhammad	Rowaha
155				22101001	Ghulam	Ahmed
156				22101310	Yassin	Younis
157				22101038	Zahaab	Khawaja
158	T2432	Yes Chef	YesChef is an app designed to help its users organize their cooking habits. Our project involves developing a gamified cooking app that allows users to share their favorite recipes, help them manage their ingredients and get personalized recipe recommendations based on their available ingredients and preferences . In summary, our app aims to turn the process of cooking food into a fun and easy process, making it easier for everyone to enjoy homemade meals.	22003479	İsmail Barış	Sunar	Muhammed Naci Dalkıran	Uğur Doğrusöz	https://yeschefbilkent.netlify.app	yeschefcs@gmail.com
159				22101645	Mert	Terkuran
160				22001880	Serhan	Turan
161				22101766	Ulaş	Keskin
162				22102932	Mert Emre	Yamalı
163	T2433	Veritas	Our project is a newspaper-style application that merges traditional news with social media features, providing an authentic reading experience and personalized content. Users can access diverse information gathered from various APIs, with machine learning refining and matching content, while NLP ensures language clarity. The app offers easy navigation, personalized news preferences, and location-based alerts. Social aspects include a like-and-share feature, an FYP-like feed displaying news liked by friends, and a built-in messaging system for sharing articles. Membership enables access to enhanced features, and the application will be available on both app and website platforms, creating a seamless, interactive, and automated experience.	22002572	Zeynep Doğa	Dellal	Selma Kasap	Fazlı Can	http://veritasroadmap.netlify.app	veritascs4912@gmail.com
164				21903339	Yusuf	Özyer
165				21902318	Yağız Berk	Uyar
166				21902967	Barkın	Saday
167				21901826	Mithat Emre	Gürbüz
168	T2434	Auditum	Auditum is an AI-driven personal finance assistant designed to empower users to manage their financial future. The platform simplifies financial management by providing predictive tools that track, forecast, and optimize expenses in real time. Targeting a broad audience, from young adults to families and professionals, Auditum leverages cutting-edge analytics to help users plan short- to mid-term financial goals and ensure long-term financial well-being.	22101528	Azimli	Maryam	Haluk Altunel	Arashloo Shervin Rahimzadeh	https://faceted-butternut-ac8.notion.site/Auditum-Your-Budget-Your-Way-11098d98950a80fcb554ca91da109f35	murat.ertan@ug.bilkent.edu.tr
169				21802270	Cem	Apaydın
170				22003067	Murat	Ertan
171				22003392	Tarık Berkan	Bilge
172				22001446	Ghazal	Amirrashed
173	T2435	Eventure	Our application completely gives a new aspect to how people find and interact with local events. Finding interesting and relevant events is made easier by using AI to customize event recommendations based on users' preferences and current location. In addition to making personalized event recommendations, the platform links users based on shared interests, promoting real-time social interactions both online and at events. The app's current security measures guarantee a private and safe experience, enabling users to easily and safely explore their social landscapes. This application perfectly fits into the busy lives of modern users, serving as more than just an event finder. It also opens doors to lively social interactions and community involvement.	22003312	Onur	Tanınmış	Muhammed Naci Dalkıran	Cevdet Aykanat	https://ercanbahri13.github.io/Eventure/	onur.taninmis@ug.bilkent.edu.tr
174				21903151	Ercan Bahri	Nazlıoğlu
175				21803541	Gizem Gökçe	Işık
176				21802766	Alper	Bozkurt
177				22001640	Damla	İmre
178	T2436	MRacle	MRacle is an innovative AI-powered tool designed to bring a new perspective to brain tumor detection and diagnosis in radiology. Leveraging advanced neural networks, MRacle analyzes MRI scans to identify potential brain tumors and marks affected brain segments. With an intuitive interface, radiologists can view full MRI scans and overlay AI-generated tumor segmentations. This state-of-the-art solution aims to simplify workflow by prioritizing cases with higher likelihoods of tumors, allowing radiologists to focus their expertise where it's most needed. By accelerating the MR checkup process and providing a second set of "eyes" for the doctors, MRacle enhances efficiency while maintaining the crucial role of human expertise in final assessments and diagnoses.	22103005	Orhun	Aysan	Deniz Katırcıoğlu Öztürk	Doruk Öner	https://github.com/mracle-ai	orhun.aysan@ug.bilkent.edu.tr
179				22003455	Mirza Özgür	Atalar
180				22102105	Kaan	Türkoğlu
181				22102622	Ege	Karaahmetoğlu
182				-	-	-
183	T2437	Interalyze	Interalyze is an interview analytics platform that offers recruiters data-driven insights into the performance of candidates by analyzing verbal and non-verbal cues from the interviews. The tool converts online video interviews to text first, after which the language can be examined for signs of stress, answer relevance, personality, and confidence levels. While this is in process, computer vision will monitor attention by eye gaze and head movement to measure the engagement levels of the candidate during the conversation. Interalyze uses natural language processing, joined with computer vision, to deliver analyses for each interview that contain aspects such as stress levels based on speech patterns, attention levels from visual cues, and relevance of responses to questions. This analytics comes in insights for recruiters on the fit of a candidate for the position.	21902976	Öykü Elis	Türegün	Perin Ünal	Hamdi Dibeklioğlu	https://interalyze.github.io/	interalyze@gmail.com
184				22102191	Atilla Alp	Yavuz
185				22103801	Kemal Sarper	Şahin
186				22102132	Tolga Artun	Koçak
187				22003061	Tolgahan	Arslan
188	T2438	Para-Meter	Our project is a customizable portfolio optimization tool that utilizes machine learning models. Users can choose among various machine learning algorithms, integrate their data source to train our models, set their risk and return preferences, create their custom features, or choose from a predefined set of features to customize the optimization process. Our tool will give flexibility to the users, and it will have a user-friendly interface, which will spare them from writing code or dealing with technical details	22102566	Tuna	Saygın	Eren Biri	Selim Aksoy	https://parameter-project.github.io/	sila.ozel@ug.bilkent.edu.tr
189				22102825	Sıla	Özel
190				22003598	Abdullah Samed	Uslu
191				22002756	Muti	Kara
192				-	-	-
193	T2439	Fennec Radio	Welcome to the future of radio with Fennec! Imagine a platform where anyone can step into the role of a broadcaster; host live shows, and engage directly with their audience through live chats or by inviting listeners to join the broadcast. Fennec empowers users to create and share their voice, bringing people together in real time. But that’s not all—Fennec’s AI-powered DJs take the listening experience to the next level, offering personalized playlists, interactive polls, and dynamic events that adapt to listeners preferences. Whether you're tuning in for music, news, or conversation, Fennec makes radio interactive, engaging, and personalized like never before. With Fennec, we're aiming to transform traditional radio into a vibrant, community-driven, and intelligent space where every voice can be heard, and every person feels connected.	22103782	Süleyman Yağız	Başaran	Ali Cengiz Beğen	Özgür Ulusoy	https://fennecradio.github.io/website/	yagiz.basaran@ug.bilkent.edu.tr
194				22103766	Hikmet Kaan	Oktay
195				22103559	Bartu	Özyıldırım
196				22003865	Atakan	Keser
197				22101910	Feza Emir	Çelik
198	T2440	FieldStats	We will be developing a disruptive AI-powered system to transform football analysis. Our solution will detect players on the field and measure performance metrics like sprints, top speed, pass accuracy, blocks, and ball control. By leveraging AI, we'll enable long-term performance tracking and tactical analysis, offering a deeper understanding of player dynamics and team strategies. With the data we obtain, we will offer a service that helps teams and coaches make critical decisions.	22103593	Umut Arda	Tuncar	Erhan Dolak	Shervin Rahimzadeh Arashloo	http://fieldstats.pro/	tuna.cuma@ug.bilkent.edu.tr
199				22103582	Ahmet Faik	Utku
200				22002672	İsmail Kaan	Özer
201				22102475	Rıfat	Altaş
202				22103156	Tuna	Cuma
203	T2441	Atommit	During software development, unrelated changes can be added to the repository in a single commit. These tangled commits may complicate the debugging, integration, and code review. To make each commit follow the single responsibility principle, Atommit separates the incoming commit into multiple atomic commits and partitions them into high-level categories such as “bug-fix,” “feature,” “refactor,” and “logic update.” Atommit allows users to easily review, accept, or modify the proposed commits so they can combine them, carry a diff section to another proposed commit, or create new atomic commits from the proposed ones. Atommit also provides informative commit messages for each atomic commit, allowing the developers to understand the changeset of the commit quickly. Atommit not only helps software maintenance by ensuring a clean repository history but can also enhance generative tools, which often assume their training data is atomic despite most being noisy. Thus, Atommit can refine the repositories to enhance the quality of both generative tools and the software development process.	22102276	Işıl	Özgü	Selim Yazıcıoğlu	Eray Tüzün	https://atommit.com/	isil.ozgu@ug.bilkent.edu.tr
204				22102516	Burhan	Tabak
205				22103402	Berkay	Gündüz
206				22003208	Sertaç	Derya
207				22103885	Ulaş	Dilek
208	T2442	Diabytes	Diabytes is a phone-based app that aims to predict the blood sugar levels of diabetes patients. It will use a ML model to project how the blood sugar level of the user will change over time, aiding them in planning their insulin injections accordingly. The app will let users input their own meal nutrition values by hand. Alternatively, phone camera can be used to take a photo of the meal, which will be processed with computer vision to determine nutrients automatically. The nutrient values will be used in tandem wit our ML model to establish a dosage and injection time for the insulin. For ease of use, we will aim to provide the service on smartwatches as well.	22101806	Umut Bora	Çakmak	Deniz Katırcıoğlu Öztürk	Uğur Doğrusöz	https://cenkerakan.github.io/Diabytes/	bora.cakmak@ug.bilkent.edu.tr
209				22102414	Umut Can	Bolat
210				22103102	Perit	Dinçer
211				22102946	Ahmet Tarık	Uçur
212				22102295	Cenker	Akan
213	T2443	Kurtaran-AI	This project, in collaboration with Kurtaran Ev - a well-known rescue shelter based in Istanbul, Türkiye -, aims to create an innovative platform for adopting animals in rescue shelters by utilizing image recognition, automated matching algorithms, artificial intelligence, and a user-friendly interface. By addressing challenges in existing systems, such as inefficient matching processes and lack of comprehensive animal profiles, the platform uses a more technological and automated approach. This seeks to offer an efficient solution that enhances the adoption process. The platform will streamline the process of matching animals with potential adopters. It will also provide detailed animal profiles, including health records, behavioral traits, and personalized care recommendations. This makes it easier for new owners to understand their pets' needs. Additionally, the platform will incorporate a chatbot that allows for ongoing support after adoption, including training and veterinary care advice. These elements are designed to help foster a supportive environment for both the animals and their new owners. The goal is to ensure that both animals and their new owners experience a strong bond and seamless integration, resulting in long-lasting adoptions and a reduction in returned adoptions, along with a higher satisfaction rate.	22101782	Yasemin	Akın	Deniz Dalkılıç	Selim Aksoy	https://yod-ai.github.io/yodai/	akinnyaseminn3@gmail.com
214				22003854	Deniz Can	Özdemir
215				22003500	Alphan	Tulukcu
216				22102546	İlhami	Uluğtürkkan
217				21802642	Oğulcan	Karakollukçu
218	T2444	Variant Net Search Engine	Our project is a state-of-the-art genomics search engine built to manage and explore a massive knowledge graph dataset with around one billion nodes. The system leverages Cypher query generation to retrieve specific nodes and employs a similarity search to uncover related nodes, presenting users with precise and relevant genomic insights. Additionally, the platform integrates a Chain of Thought (CoT) mechanism, tailored to assist doctors in diagnosis and clinical decision-making, enhancing the accessibility and utility of complex genomic data. The search engine also cites credible resources and relevant research papers, providing a comprehensive knowledge base for users.	22102684	Yusuf	Kesmen	A. Ercüment Çiçek	A. Ercüment Çiçek	variantsearch.com	yusuf.kesmen@ug.bilkent.edu.tr
219				22103524	Mehmet Bahattin	Dulkadiroğlu
220				22103376	Yiğit	Küçük
221				22001927	Alpsencer	Özdemir
222				22002819	Yavuz Alp Sencer	Öztürk
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