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Project NameProject SummaryTeam MembersInnovation ExpertSupervisorProject URLContact Email
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Student IDNameSurname
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T2501PARSE - Presentation Analysis and Real-time Semantic ExtractionAn interactive online meeting/presentation bot specifically designed for online presentations. PARSE is an
interactive assistant for online presentations that continuously fuses verbal explanations with on-screen
materials such as text, formulas, tables, and images to maintain a live model of the talk. Participants can ask
natural-language questions at any time and receive real-time, grounded answers with citations to the relevant
slide or timestamp. After each session, PARSE generates an auto summary and dashboards with metrics like
most-asked topics, which slides/timestamps sparked the most questions and a list of unresolved questions to
address next time. Designed with a privacy-first approach, PARSE supports explicit consent, redaction of
sensitive content, and session-scoped retention. By meeting audiences where their questions arise, PARSE turns
passive viewing into active understanding.		22203783AnılKılıçSezai Artun Özyeğin
Ayşegül Dündar Boral
https://parse-landing.vercel.app/anilk@ug.bilkent.edu.tr
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22202680Aybars BuğraAksoy
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22202981BarışYaycı
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22203661BoraYetkin
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22201772Eren BerkEraslan
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T2502RecruitAssistantRecruitAssistant, is an AI-powered virtual interview companion designed to help students and job seekers prepare effectively for real-world interviews. It simulates both technical and behavioral interview scenarios through adaptive questioning, voice or text interaction, and instant personalized feedback. By leveraging natural language processing and machine learning, RecruitAssistant evaluates user responses on clarity, correctness, and communication, offering actionable improvement tips. The platform transforms interview preparation into an engaging, data-driven, and personalized experience—helping users gain confidence, enhance performance, and succeed in their career pursuits.22102614Mehmet AnılYeşilMustafa SakalsızÖzgür Ulusoyhttps://recruitassistant.net/mehmet.yesil@ug.bilkent.edu.tr
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22102126DenizÖztürk
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22201926 Emir EnsarSevil
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22201939 Yüksel BarkınBaydar
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22103284CankutayDündar
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T2503VeriFactVeriFact is a real-time claim verification platform for online meetings. It helps presenters and participants make sure every claim has evidence. As a native Zoom application, it always transcribes speech, detects factual claims, and checks them against uploaded company documents using a Retrieval-Augmented Generation (RAG) pipeline. Verified statements show color-coded indicators and clickable citations. Additionally, a wakeable Q&A agent provides permitted attendees with instant, source-based answers, serving as a secondary workflow that complements claim verification. By bringing together claim detection, secure document management and real-time fact checking, VeriFact reduces misinformation risks and helps organizations hold reliable, data-driven meetings.22201170Alhassan Raad JassimAl-badriMustafa SakalsızSinem Savhttps://verifact.live/raad.albadri@ug.bilkent.edu.tr
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22202321Orhun EgeÇelik
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22203014EgehanYıldız
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22203691İrem DamlaKaragöz
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22201686Erayİşçi
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T2504PathogeniusPathogenius is a portable, GPU-accelerated platform built to deliver rapid pathogen detection in resource-constrained settings such as disaster zones. Unlike conventional bioinformatics systems that depend on powerful clusters and a stable internet connection, it is designed to run offline on modest local hardware, making it practical for hospitals, field clinics, and emergency teams. By optimizing and constructing workflows for pathogen identification, the system shows how genetic data can be transformed quickly into clear, actionable results that non-coding experts such as doctors can trust. The vision is a compact, reliable, and commercially viable tool that brings advanced pathogen diagnostics out of specialized labs and directly into real-world crisis response.22202104NazlıApaydınCan AlkanCan Alkanhttps://patho-genius.github.io/n.apaydin@ug.bilkent.edu.tr
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22201914EgeAteş
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22202329Yiğit AliDoğan
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22203758YunusGünay
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22203050Ata UzayKuzey
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T2505MindJournalMindJournal is a new way of journaling that enhances self-awareness by identifying recurring negative thoughts and visualizing them on a dynamic mind map. Users can share their thoughts either through audio or typing. Similar topics that frequently appear are organized into categories, represented as nodes within the mind map. The map illustrates cause-and-effect relationships between thoughts through directed connections, helping users understand how one thought triggers another.Over time, users receive insightful, personalized feedback and practical suggestions based on their thought frequency and patterns, enabling them to recognize deeper mental trends and achieve meaningful self-understanding21902557DenizYazıcıArtemiz GülerUğur Güdükbayhttps://mindjournalai.vercel.appd.yazici@ug.bilkent.edu.tr
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22202218Ali DenizSözer
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22002600Mehmet ErenAnbar
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22003191Furkan MertAksakal
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22201690DenizŞahin
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T2506HipografHipograf is a medical information visualization tool. It provides a way for all medical practitioners and patients alike to view their medical records in a more useful and intuitive manner. Hipograf will integrate with the E-Nabız medical record database to provide a unified platform to use for information visualization.22202554Ramiz ArdaÜnalHaluk AltunelUğur Doğrusözhttps://info.hipograf.com.tr/eren.gokirmak@ug.bilkent.edu.tr
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22203746Şükrü ErenGökırmak
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22202620Salih FurkanGöktaş
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22203316Artun BerkeGül
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22202471OrhunGüder
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T2507Scuba - Mental HealthWe are developing a mobile application that passively detects early signs of depression by analyzing multimodal data from smartphones and wearable devices. This includes location and mobility patterns, step count, sleep quality, call and message metadata, and, where explicitly consented, voice prosody features. Additional behavioral indicators such as screen on/off events, phone usage statistics, typing patterns, and heart rate variability are also incorporated. Our approach integrates these data sources through a privacy-first design to provide personalized risk insights and evidence-based recommendations for users and care teams, enabling timely and proactive interventions. The platform is built on transparent consent, strong encryption, and full user control, and serves as an earlywarning and self-support tool rather than a clinical diagnostic system.22103775MetinÇalışkanMurat ErgunHamdi Dibeklioğluhttps://scuba-mental-health.netlify.app/merve.gulec@ug.bilkent.edu.tr
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22103406YiğitKoşum
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22101998
Muhammed Fatih
Başal
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22103416MurathanIşık
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22103231MerveGüleç
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T2508MergentMergent is an AI-assisted code review tool designed to improve the speed, clarity and consistency of pull-request evaluations. The tool automates issue linkage, verifies PR-issue alignment, highlights high-impact changes and produces actionable AI comments to reduce reviewer workload and variability in feedback quality. By integrating multiple phases of the review workflow into a single solution, Mergent supports developers and reviewers with structured guidance that shortens cycle time and enhances review outcomes.22103002
Hasan Kutluhan
ŞıpkaEray TüzünEray Tüzünhttps://mergentai.github.io/kutluhan.sipka@ug.bilkent.edu.tr
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22102970Furkan EmreKolukırık
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22102787ErdemAydın
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22103227KaanAydeniz
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22103448OğuzhanGenç
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T2509Red FlaggerRed Flagger is an AI co-pilot designed for social mediamonitoring. It serves both individuals seeking to audit their own digital footprint and organizations aiming to mitigate hiring risks by identifying potential reputational, legal, and security threats. It scanstexts and imagesfor predefined risk categories like hate speech and violent content, the platform delivers actionable, auditable reports.2200194Seçkin AlpKargıÇağatay KurtCevdet Aykanathttps://red-flagger.github.ioseckinalpkargi@gmail.com
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22003822Ali FurkanKaya
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22102658NilsuAzizoğlu
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22101301İsa AhmadKhan
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22101713Ahmet ErenÖzvurmaz
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T2510MentoraMentora is a personalized assistant designed to help students build consistent, healthy, and effective study routines. It addresses common challenges such as irregular sleep patterns, low motivation, inconsistent study habits, and emotional stress. By analyzing each student’s biological rhythm, emotional state, exam schedule, personality type, academic history, and course load, Mentora creates customized study schedules that change as the semester progresses. Using emotion detection and natural language processing (NLP), Mentora interprets facial expressions and written reflections to assess mood and motivation. It also applies psychological profiling tools like the Ten Item Personality Inventory (TIPI) and the Five-Factor Personality Model (OCEAN) to personalize the experience. For example, a student who is easily distracted may receive shorter, more frequent breaks, while one who experiences stress may be guided toward calming activities. To improve mental and physical health, Mentora uses a personality based Pomodoro approach that combines breathing and physical exercises with adaptive focus sessions. It automatically modifies study plans based on workload, including exam frequency, impending deadlines, and course complexity. The system sends daily motivational alerts to maintain progress and proactively suggests lighter breaks and earlier starts during more stressfull periods. Students offer brief feedback at the end of each week by answering important inquiries like "How was your week?" and "Did you reach your goals?" Based on these observations, Mentora improves its suggestions for the upcoming week. The software also has a lightweight conversational assistant (LLM) that can respond to brief queries like "How many minutes are left?" and "Should I study now?" to enhance user interaction. By combining emotional intelligence, adaptive scheduling, and smart feedback loops, Mentora transforms study sessions into a personalized, data-driven, and supportive experience and it helps students stay motivated, balanced, and continuously improving throughout their academic journey.21802704BerfinÖrtülüSinan SonluUğur Güdükbayhttps://github.com/alperbiceral/Mentoraberfin.ortulu@ug.bilkent.edu.tr
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22003097AlperBiçer
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22102084Sina Farabi Sari
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21901442GülferizBayar
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22203380KeremDemirören
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T2511E-Way Our project is a smart route planning application designed specifically for electric vehicle (EV) users. It dynamically generates the most efficient, cost-effective, or comfortable travel routes based on the driver's preferences, vehicle type, and current battery level. By integrating real-time and historical data from EV charging stations, the system predicts station availability and suggests optimal stops. It also enhances the charging experience by recommending nearby amenities like cafes or shops. The application aims to personalize journeys using AI, reduce wait times, and highlight environmental and financial benefits, making EV travel smarter, smoother, and more sustainable22103511Hüseyin UtkuYükselAlper SarıkanÖzgür Salih Öğüzhttps://e-way-website.vercel.app/utku.yuksel@ug.bilkent.edu.tr
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22103680FurkanÖzek
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22102800AzizÜzümcü
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22102898Halis VefaTürkyılmaz
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T2512BugScribe: Agentic Bug Report Generation AssistanBugScribe is an intelligent system that transforms the traditional bug reporting process into an interactive, AI-assisted experience. When users encounter a bug, they can activate our browser extension, which automatically captures the last 30 seconds of their activity, including video, console logs, and user interactions. This data is sent to our backend AI agent, which generates a comprehensive bug report containing all required fields. BugScribe further refines this report through natural language interaction with the user. Using a combination of Large Language Models and retrieval-augmented generation, it evaluates the report’s validity, suggests potential fixes, and prevents invalid and duplicate bug submissions. The system integrates directly with popular platforms such as Jira and GitHub. By leveraging agentic AI to handle repetitive tasks and guide the user, BugScribe aims to reduce the number of invalid or incomplete bug reports while improving report clarity and developer productivity22103352Emre FurkanAkyolSelim YazıcıoğluEray Tüzünhttps://bug-scribe.github.io/ozkan.ir@ug.bilkent.edu.tr
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22102035Mehmet CanBıyık
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22103624EmreDinç
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22103267
Mustafa Özkan
İr
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22103657Akif EmreKöşüş
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T2513NoIssues- An LLM Agent for Automated Issue VerificationManual issue verification and triage in software projects are time-consuming processes in software engineering that consume valuable developer time. Current processes are slowed down by missing information in issue tickets, vague descriptions, as well as duplicate reports, which interrupt important work of developers just to have them to go through many low-quality issues. We propose NoIssues, an LLM agent that automatically builds open-source repositories from GitHub and then automates issue verification workflow to solve this inefficiency and recover developers' lost time during triage. Inspired by the popularity of LLM agents in modern developer tools, we leverage the build reasoning and context-understanding qualities of LLMs to build projects that have different build tools and domains. Once the software projects are built successfully, NoIssues validates issue completeness and identifies duplicates, and verifies the overall quality of issues. By ensuring that developers only get pre-validated issues, our product will reduce issue triage effort and duration and allow developers to focus on their main work.22201800Elif EceCanİbrahim HalatçıAnıl Koyuncuhttps://cs491.no-issues.com/ececan@ug.bilkent.edu.tr
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22203673Mehmet AkifŞahin
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22103340Berke KuzeyArdıç
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22203012EmirTomrukçu
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22201791GörkemAslan
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T2514TırGözThis project aims to develop a logistics monitoring and optimization platform that integrates computer vision and vehicle routing optimization to enhance efficiency in loading docks and distribution centers. The system processes live video streams from cameras to automatically detect anomalies and damages during cargo loading, estimate truck and warehouse occupancy, and perform real-time route optimization based on dynamic conditions 22102376Umut BaşarDemirAli BeğenDoruk Önerhttps://tirgoz.github.io/TirGoz-Website/basar.demir@ug.bilkent.edu.tr
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22103616ArdaÖztürk
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22102266BurakBaştuğ
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22102519Berkin KağanAteş
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22102342Berin Suİyici
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T2515PatchMatchOur project develops an intelligent whole-slide image retrieval system that empowers pathologists to quickly find visually and clinically similar cases from large-scale digital pathology databases. By leveraging state-of-the-art computer vision and scalable search methods, our system transforms high-resolution pathology slides into efficient, comparable representations, enabling instant case-based retrieval and visualization. This innovation supports faster, more consistent, and explainable diagnoses while reducing workload for specialists, enhancing research reproducibility, and improving overall diagnostic confidence in medical practice.22102541BertanUranDeniz Katırcıoğlu Öztürk
Selim Aksoy
https://patchmatch.pages.dev/ekin.koylu@ug.bilkent.edu.tr
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22103867EkinKöylü
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22203138Elif LaraOğuzhan
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22201668EmreYazıcıoğlu
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22203818İlkeLatifoğlu
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T2516AgreemindAgreemind is an AI-powered platform that helps people understand, track, and manage the legal agreements they encounter, such as digital Terms of Service, rental, and freelance contracts. It automatically detects online agreements in real time and provides quick feedback on major risks or concerning clauses before the user agrees. Uploaded documents are analyzed to identify key terms, obligations, and potential risks in plain language, while also checking compliance with major regulatory frameworks. Users can maintain a complete history of their agreements, compare versions to spot updates, query stored agreements, and perform cross-document searches. Agreemind further empowers users to recognize when their rights can be exercised, such as requesting data deletion or enforcing a contractual clause, and assists them by detecting available actions and generating the appropriate formal requests. 22201531Edip EmreDönger_Hamdi Dibeklioğluagreemind.xyzemre.donger@ug.bilkent.edu.tr
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22202290AtaSoykal
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22203369Can PolatBülbül
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22202453AtaOğuz
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22202834EmirGörgülü
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T2517Moo-tionMoo-tion is a camera-based herd management system intended to support efficiency and data-driven practices in
dairy farming. Our goal is to automatically detect estrus periods, predict calving, and track each cow's activity
using computer vision. The system identifies and counts animals through visual tags and sends instant alerts to a
mobile app when a cow is in heat, close to calving, or missing. By combining multiple monitoring tasks into one
platform, Moo-tion helps farmers save time, prevent missed cycles, and improve both productivity and animal
welfare.		22202233EmirEroğluBayer Niyazi KılıçkayaDoruk Önerhttps://moo-tion.github.io/a.burakilickaya@gmail.com
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22101815CanberkÖzba
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22103833Ahmet
Burak Kılıçkaya
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22102919MuhammedEnes,Şahin
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22002460MertÖzkaya
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T2518ReMindThis project delivers a caregiver-focused mobile assistant for individuals with Alzheimer’s or
dementia. Built in a privacy-preserving way, it provides live location tracking with geofencing
alerts, medication and routine reminders for both caregiver and patient, and quick mood check-ins.
A connected smartwatch monitors vital signs to detect confusion or distress, and the app includes
calming memory games. A built-in MoodAI module observes behavioral patterns to recognize
changes in engagement or mood and offers timely nudges. The app prioritizes privacy with ondevice
processing, encrypted data storage, minimal sharing, and clear user controls.		22203501Ayça CandanATAÇDeniz KATIRCIOĞLU ÖZTÜRKSinem SAVhttps://aycaatac.github.io/ReMind/candan.atac@ug.bilkent.edu.tr
ceren.celik@ug.bilkent.edu.tr
emine.noor@ug.bilkent.edu.tr
irmak.imdat@ug.bilkent.edu.tr
yagiz.saridogan@ug.bilkent.edu.tr
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22202534Elif CerenÇELİK
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22201252EmineNOOR
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22201570IrmakİMDAT
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22202072Ahmet YağızSARIDOĞAN
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T2519AccentraAccentra is a voice-first language-learning platform designed to help English learners improve their speaking, pronunciation, and listening skills. The app centers on real-time role-play conversations and provides explainable pronunciation feedback. Learners interact with expressive, multi‑speaker text‑to‑speech voices; speak their responses via microphone; receive immediate transcripts and view phoneme‑level pronunciation heatmaps. Progress is tracked over time to highlight improvements in fluency and recurring pronunciation errors.22201439ErfanFarhangKiaAhmet KaraShervin Rahimzade Arashloohttps://accentra-web.vercel.app/erfan.farhang@ug.bilkent.edu.tr
abdulaleem@ug.bilkent.edu.tr
sher.mir@ug.bilkent.edu.tr daib.malik@ug.bilkent.edu.tr maksat.abrayev@ug.bilkent.edu.tr
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22201438AbdulaleemAltarsha
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22201310Ali SherMir
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22201013DaibMalik
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22201182MaksatAbrayev
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T2520OmniTrendOmniTrend is a news and trend analysis tool that turns a topic into clear, trusted insights. Users enter a keyword or headline, and the system pulls recent articles from verified news APIs, RSS feeds, and GDELT, and analyzes them in seconds. The results show a timeline of article volume, sentiment (positive/neutral/negative), top regions, and a simple view of biased sources based on their tone and evidence. Users can compare countries or outlets side-by-side, see key people and organizations mentioned, and read short, cited snippets from the original articles. All numbers are traceable, every chart links back to sources, so it’s easy to verify. Filters (date range, region, language, outlets) update the page live, and you can export charts (PNG), data (CSV), or a short PDF summary for presentations. The goal is practical: help students, journalists, and teams understand what’s trending, how it’s discussed, and how it’s framed in the news.22201751DenizÇatakoğluMustafa SakalsızFazlı Canhttps://omnitrend-ai.github.io/project_web_page/rida.fatima@ug.bilkent.edu.tr
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22102860EmineFidan
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22203092İlsuKaradağ
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22201001RidaFatima
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22202573UmayDündar
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T2521Immersive Inquiry Based Learning PlatformInquiry-based learning is a type of learning in which students explore a subject by answering a series of guiding questions. Through this process, they come to understand the material as if they had discovered it themselves. Unfortunately, unlike normal textbooks, Inquiry-Based Learning textbooks require an instructor to guide the student through the learning process. This in the past has meant that Inquiry-Based learning had been impossible to implement in the classic online lecture form.
But the existence of LLMs has made it possible for such textbooks to be utilized in self-learning through the assistance of an LLM instructor. In such a setup, students will be given the ability to upload an IBL Textbook and an LLM will create an online course out of that book.
The LLM will guide the students through a series of questions, and in the end, students will be made to learn the subject as if they have discovered it themselves.
To further enhance this experience, the system will incorporate animated embodiments of the instructor, complete with synchronized synthesized speech. These animated agents will use facial expressions, gestures, posture, and gaze to convey personality and presence, making the interaction feel more engaging and immersive.
By combining IBL with expressive character animations, students will not only learn as if they had discovered the material themselves, but also feel as if they are being guided by a real instructor in a vivid and interactive environment.		22203367Ahmet DenizGelirSinan SonluUğur Güdükbayhttps://bilkent-sdp-iiblp.github.io/Senior-Design-Project-Website/deniz.gelir@ug.bilkent.edu.tr
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22202254Efe CanTatar
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22203328SimayUygur
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22201820Kemal OnurÖzkan
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22001736ErenUslu
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T2522CASSIE
Cloud-based Assembly Streamlined Service Integration Engine
We aim to develop a cloud-based genome assembly and annotation platform that streamlines and automates every stage of genomic data analysis. Our platform automates entire workflows from data upload to genomic analysis. The researchers will upload their sequencing data, select appropriate tools and execute complex pipelines within isolated environments on virtual machines. This multi-tenant system will simplify large-scale genomic analysis, by integrating Docker for containerization, Kubernetes for orchestration and Nextflow for workflow automation; it delivers scalability, reproducibility, and cost efficiency at cloud scale. In short, our aim is to allow a broader range of researchers to efficiently perform complex genome assembly and annotation tasks without the need for a deep understanding of the underlying computational infrastructure.22102289EgeŞirvanCan AlkanCan Alkanhttps://justsignedupayy.github.io/cassie-pages/Missing contact email!!!!!!!!!!!!!
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22102329ErenEren
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22002031ArdaKırcı
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22002553OsmanBaktır
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22102542EmreCan Yoloğlu
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T2523Vectura AI"See inside, navigate anywhere" with Vectura AI. Vectura AI is a two-sided, next-generation indoor mapping and navigation platform that seamlessly integrates traditional buildings into your pocket in an intelligent way. Place owners as admins upload dataset results of LIDAR scans and interior footage of that place. Vectura AI processes these as a live, searchable vector database, creating a digitalized version of the tangible interior of the place. Visitors, as end users, simply scan a QR code provided at the entrance of the place and carry it to their mobile devices, allowing them to start enjoying the instant and accurate experience of interactive indoor mapping without any concern of getting lost. Scalability and privacy are the primary principles that Vectura AI focuses on when bridging physical and digital spaces. Vectura AI offers a practical solution for maintaining orientation, security, and effectiveness in various types of venues, including campuses, hospitals, and businesses, without requiring GPS or integration with third-party systems.22203317
Muhammet Ümit
TavusHaluk AltunelIbrahim Korpeogluhttps://ahmetfurkankizil.github.io/vecturai/
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22203360 Emirhan Kılıç
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22203112Ahmet FurkanKızıl
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22202461BuğraÇayır
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22203340AhmetZor
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T2524BugSmithBugSmith is an end-to-end automated bug reproduction and repair system that streamlines the entire software debugging lifecycle using AI agents. When a bug is reported, the system automatically enhances the report, reproduces the issue in a controlled environment, identifies its root cause, validates its legitimacy, and generates potential code fixes, all while keeping developers in the loop through a real-time dashboard and Jira integration. By combining large language models with reproducible testing and intelligent localization, BugSmith aims to reduce manual effort, accelerate bug resolution, and ensure higher consistency and transparency across development teams.22203789İbrahimKaracaİlge AkkayaEray Tüzünhttps://bugsmith.lovable.app/ibrahim.karaca@ug.bilkent.edu.tr
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Mehmet Serhat
Çelik
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22202464Beste NazYavuz
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22103873Yiğit KemalCan
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22202606Umut UtkuErşahince
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T2525OdysseyAre you lost or seeking adventure? Our app is for your needs. We are generating a story for each country which makes it so unique. The boring city tours are our main source, but we make them become a thriller. As you are wandering around a city of unknowns, you will find clues, find puzzles, and find your way out. These clues will guide you to the soul of the city with its real stories. AI is used to create once in a lifetime stories, which will make your tour an unforgettable experience. Moreover, our goal is to create a community that will create tours, and share tours. This community will be a source for generating new knowledge and new experiences. We are developing a new form of exploration and guidance. Creating a new form of excitement and fun for everyone.22202184Sami BoraAkoğuzTağmaç TopalSalih Özgür Öğüzhttps://odysseygo.github.io/Odyssey/Missing contact email!!!!!!!!!!!!!
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22201590Cem TarkanTekcan
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22202619CanKütükoğlu
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22202433EgeErtem
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22201856Mehmet RodiAydoğdu
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T2526ConsensiaOur project allows users to create multiple AI personas with different software-engineering and business roles — such as CTO, Software Architect, Senior developer, QA, SRE, Security Engineer, as well as Product Manager, Finance/CFO, and operations/Management. Each agent answers a technical or strategic question; a judge LLM analyzes all outputs and scores them for consistency, fairness, and reasoning clarity. The judge’s consensus is then validated against human-tagged data.22101535AmirhosseinAhaniHaluk AltunelAnıl Koyuncuhttps://amirahanii.github.io/Consensia-webpage/consensiaict@gmail.com
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22001482AhmadHaikal
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22003421İrfan HakanKarakoç
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Mehmet Hakan
Yavuz
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T2527CollabHubCollabHub is a collaborative version control platform designed for professionals who work with large 3D project files—such as architects, engineers, 3D artists, were traditional tools like GitHub or cloud drives fail due to massive file sizes. It enables version tracking, branching, merging, and commenting—similar to GitHub—but adapted to 3D workflows, this allows users to collaborate seamlessly on a shared project space.22101287MoinKhan_Ayşegül Dündarhttps://moinkhan30000.github.io/CS491_Project_WebPageedip.aras@ug.bilkent.edu.tr
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22203827TunaGöksaltuna.goksal@ug.bilkent.edu.tr
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22103515İbrahimÇaycıyigit.ozhan@ug.bilkent.edu.tr
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22201973YiğitÖzhanmoin.khan@ug.bilkent.edu.tr
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22203238Ömer EdipArasibrahim.cayci@ug.bilkent.edu.tr
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T2528UppGradUppGrad is a web app tailored for university students freshly graduating from university, aiming to make their transition into graduate life easier. It will help students by giving feedback on their CVs, tracking and applying to suitable job positions, internship opportunities, and MSc and PhD programs. It will also include a trained chatbot to answer career-related questions.22203226BertanTurgutAlper SarıkanSelim Aksoyhttps://uppgrad.github.io/bertan.turgut@ug.bilkent.edu.tr
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22203470Begüm FilizÖz
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22203675EmreUçar
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22203113AliÖzhavala
142
22202548KoraySevil
143
T2529Sproutly/FocusMate - still working on the nameSproutly/FocusMate is an AI-assisted personal coaching app designed to help users develop discipline and maintain focus in a sustainable way. Rather than relying on strict app blocking or external limitations, our app supports users through adaptive focus sessions, gentle reminders, and a lightweight virtual companion that evolves over time. The system learns from each user’s working patterns to suggest optimal session durations, detect distraction periods, and divide larger tasks into smaller, more manageable steps. It also includes an optional proof-of-work mechanism and a streak-based reward system to encourage accountability and consistent effort. A clean and minimal dashboard provides an overview of focus statistics, streaks, and personalized insights, helping users visualize their progress easily. Built for both iOS and Android, our app combines concepts from behavioral science and artificial intelligence to address the underlying causes of distraction. The goal is to offer a flexible, human-centered alternative to conventional focus timers, promoting long-term productivity and self-discipline.22102365Bilge İdilÖzişOsman Gökhan UyanÖzgür Ulusoyhttps://kaganrehber.github.io/CS491-Sproutly-webpageidil.ozis@ug.bilkent.edu.tr
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22202667BilgehanTuğcukagan.rehber@ug.bilkent.edu.tr
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22101777KağanRehbermennatallah@ug.bilkent.edu.tr
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22101539MennatallahAboueleninbilgehan.tugcu@ug.bilkent.edu.tr
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22201601ElifErcanelif.ercan@ug.bilkent.edu.tr
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T2530TANITTANIT is the AI-powered social media assistant for small and medium-sized businesses. Simply provide a photo and a brief idea—through our website or even WhatsApp—and TANIT instantly crafts a complete, ready-to-publish post, reel, or story, complete with a compelling caption and professional design. Our platform also features intelligent scheduling and a library of ready-made content for special events, empowering you to maintain a vibrant, consistent online presence with minimal effort. With TANIT, even your worst photo can transform into the most engaging social media content.22102101
Muhammed Furkan
BaşıbüyükMuharrem DerinkökCevdet Aykanathttps://tanit-project.github.io/furkan.basibuyuk@ug.bilkent.edu.tr
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22103294ÖmerBıçakcıoğlu
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22003559BetülDoğrul
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22102559Mehmet KutayBuyruk
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22103640SümeyyeAcar
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T2531SwipePlayOur project is a mobile application that allows users to discover and enjoy simple, lightweight games in a dynamic, scroll-based interface similar to TikTok. Each game is small in size (approximately 1–2 MB) and focuses on quick, high-score gameplay, eliminating the need for saving progress. Users can swipe right to save their favorite games for later play. The platform also serves as a space for indie developers to showcase their mini-games, creating a bridge between creators and players. Both developers and the platform will be able to generate revenue through integrated advertisements, making it an engaging and mutually beneficial ecosystem for casual gaming.22201181AhedAlaryanAhmet KaraUgur Gudukbayhttps://swipeplay.vercel.app/aykhan.ahmadzada@ug.bilkent.edu.tr
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21903381OğulcanÜnal
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21903609AykhanAhmadzada
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21901310AmirAliyev
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22203365Burak KaganGur
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T2532EasyTrainEasyTrain aims to achieve data science automation in ML model training for regular users. We are planning to build an LLM-driven assistant that will take a user’s natural-language goal and dataset, automatically build a pipeline by preprocessing the data, picking the appropiate model, explain what it’s doing in plain language and output the trained model and/or code back to the user. The project will be aimed for individuals or businesses that don't possess the technical skills to implement solutions.22102018ÇağanTuncer_İbrahim Körpeoğluhttps://github.com/Easy-Traincagan.tuncer@ug.bilkent.edu.tr
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22102737ErtuğrulMalkoç
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22201907KeremCindaruk
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22003476HalilAvcı
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22203555FurkanÖzer
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T2533StreamLangLanguage learners require listening content to complement their studies; however, it is a pain to find content that is suitable for one’s level. If you find some listening content that is pushing you to grow in terms of understanding complex grammar structures, it might be too easy in terms of vocabulary, or vice versa. Our solution allows the language learner to select precise grammar structures, specific vocabulary, content type, speaking speed and voice which are then used to create a listening stream uniquely tailored for the user’s growth. Selected vocabulary and grammar structures are sprinkled into the listening stream using the scientifically proven Spaced Repetition System to optimize memory recall. Initial listening stream configuration templates are available as well as a Dynamic Mode which updates the vocabulary and grammar level automatically in time, enabling a passive learning experience.22202995Mehmet EminAvşarHaluk AltunelUğur Doğrusözstreamlang.pages.devemin.avsar@ug.bilkent.edu.tr
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22203632UygarBilgin
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22202913Göktuğ OzanDemirtaş
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22203805Ruşen AliYılmaz
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T2534DriveMeHave you ever been so sick to drive a car? Or maybe too sleepy? Maybe you just want someone to pick up your kids from school while you are at work. Perhaps you have a driver’s license, and you want to create an extra income. DriveMe can match drivers and passengers to meet at a chosen location and drive your car to your destination! It aims to provide a driver’s service in real time at a price both parties agree on.22001734Ufuk BaranGülerTağmaç Topalİbrahim Körpeoğluhttps://edaalp.github.io/DriveMe/eda.alparslan@ug.bilkent.edu.tr
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22102334EdaAlparslan
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21601625Ege KaanEren
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22102720DuruSolakoğlu
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