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YassmineNouisser
Fix chatbot URL bug + replace placeholder team with real 6 contributors + team photo banner on equipe.html
d0b59f0 | <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
| <title>The team — Verify</title> | |
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| <body> | |
| <div id="site-header" data-slim="true"></div> | |
| <main class="container-x"> | |
| <section class="px-6 pt-12 pb-6 text-center"> | |
| <span class="cat-tag tag-fact" style="display:inline-block;font-size:11px;font-weight:700;text-transform:uppercase;letter-spacing:0.8px;padding:3px 10px;border-radius:2px;margin-bottom:16px;">The team</span> | |
| <h1 class="font-serif" style="font-size:54px;line-height:1.05;margin:0 0 12px;">Six people, six modules</h1> | |
| <p class="mx-auto" style="font-size:18px;color:#4a4a4a;max-width:680px;line-height:1.55;"> | |
| Verify was built by a team of six 3rd-year AI engineering students at | |
| ESPRIT School of Engineering. Each module is led by a dedicated | |
| specialist; together we combine computer vision, NLP, forensics and | |
| regulatory knowledge into one platform. | |
| </p> | |
| </section> | |
| <!-- Team photo — taken on the ESPRIT campus, 2025-2026 --> | |
| <section class="px-6 pb-10" style="max-width:1100px;margin:0 auto;"> | |
| <figure style="margin:0;border:1px solid #e5e7eb;background:#fff;box-shadow:0 6px 24px rgba(15,23,42,0.06);"> | |
| <div style="position:relative;background:#0b1020;"> | |
| <img src="assets/img/team-photo.jpg" alt="The Verify team at ESPRIT" style="display:block;width:100%;height:auto;object-fit:cover;" /> | |
| <div style="position:absolute;left:0;right:0;bottom:0;padding:18px 22px;background:linear-gradient(180deg,transparent 0%,rgba(7,12,30,0.72) 65%,rgba(7,12,30,0.92) 100%);color:#fff;"> | |
| <div style="font-family:'Playfair Display',serif;font-size:24px;font-weight:700;letter-spacing:-0.01em;">The Verify team — ESPRIT 2025-2026</div> | |
| <div style="font-family:'Inter',sans-serif;font-size:13px;font-weight:500;opacity:0.85;margin-top:4px;letter-spacing:0.02em;text-transform:uppercase;"> | |
| Class 3IA1 · Group FBAIS · Tutors: Mme Sonia Mesbah & M. Mustapha Trabelsi | |
| </div> | |
| </div> | |
| </div> | |
| <figcaption style="padding:14px 20px;font-family:'Inter',sans-serif;font-size:13.5px;color:#4a4a4a;line-height:1.6;border-top:1px solid #e5e7eb;"> | |
| Yassmine Nouisser · Islem Tellili · Malek Tirellil · Youssef Jouini · Rayen Ayat · Maryem Ouichka | |
| </figcaption> | |
| </figure> | |
| </section> | |
| <section class="team-grid"> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#ffedd5;color:#9a3412;">Y</div> | |
| <h3>Yassmine Nouisser</h3> | |
| <div class="role">Project Lead — Cosmetic Ads Fact-Check & Platform Integration</div> | |
| <p> | |
| Owns the cosmetic-ads fact-checking module (Whisper + EasyOCR + a | |
| curated EU-655/2013 knowledge base with 25 patterns, 33 fake claims | |
| and 145 verified ingredients). Coordinates the full Verify platform — | |
| frontend, FastAPI backend, the Verify Assistant chatbot, and the | |
| HuggingFace Space deployment. | |
| </p> | |
| </article> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#dbeafe;color:#1e3a8a;">I</div> | |
| <h3>Islem Tellili</h3> | |
| <div class="role">Lead — Fake Media Detection (deepfake & AI-generated)</div> | |
| <p> | |
| Trains and validates the ResNet50 ensemble that powers face-deepfake | |
| detection, paired with an MTCNN face detector and a two-stage | |
| AI-image consensus to catch GAN portraits and diffusion-model | |
| generations the deepfake model alone would miss. | |
| </p> | |
| </article> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#fef3c7;color:#78350f;">M</div> | |
| <h3>Malek Tirellil</h3> | |
| <div class="role">Lead — Visual Manipulation & Persuasion</div> | |
| <p> | |
| Designs the multi-signal pipeline that scores persuasion in an image: | |
| TrOCR for on-screen text, a DistilRoBERTa classifier fine-tuned for | |
| clickbait, CLIP zero-shot for sensational visual style, and a curated | |
| OCR-driven urgency lexicon in French and English. | |
| </p> | |
| </article> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#ede9fe;color:#5b21b6;">Y</div> | |
| <h3>Youssef Jouini</h3> | |
| <div class="role">Lead — Image-Caption Coherence</div> | |
| <p> | |
| Builds the cross-modal coherence pipeline that compares an image (or | |
| a video) with the caption it is published with — fusing CLIP ViT-L/14, | |
| YOLOv8m object detection, EasyOCR on-screen text, SAM segmentation | |
| and Whisper audio transcription into a single verdict. | |
| </p> | |
| </article> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#dcfce7;color:#14532d;">R</div> | |
| <h3>Rayen Ayat</h3> | |
| <div class="role">Lead — Image Tampering & Photoshop Forensics</div> | |
| <p> | |
| Owns the photo-forensics module. The pipeline runs three classic | |
| model-free techniques — Error-Level Analysis, noise residual and | |
| JPEG ghost — to localise edits (splicing, inpainting, copy-move) on | |
| the image with no trained classifier in the loop. | |
| </p> | |
| </article> | |
| <article class="team-card"> | |
| <div class="avatar" style="background:#fde2e1;color:#9d174d;">M</div> | |
| <h3>Maryem Ouichka</h3> | |
| <div class="role">Cross-Modal Coherence Analysis</div> | |
| <p> | |
| Investigates how the five detection signals agree (or disagree) on | |
| the same media — a transverse study that feeds calibration data back | |
| into the coherence and caption-fidelity modules and helps the | |
| newsroom interpret borderline verdicts. | |
| </p> | |
| </article> | |
| </section> | |
| <!-- Mission band --> | |
| <section class="px-6 py-12 my-6 bg-beige" style="border-top:1px solid var(--line);border-bottom:1px solid var(--line);"> | |
| <div class="max-w-3xl mx-auto text-center"> | |
| <h2 class="font-serif" style="font-size:36px;margin:0 0 16px;">Our mission</h2> | |
| <p style="font-size:17px;color:#4a4a4a;line-height:1.7;"> | |
| Provide the public, journalists and Tunisian institutions with an | |
| independent visual verification toolkit, transparent on its methods | |
| and free from any commercial interest in steering its verdicts. | |
| </p> | |
| </div> | |
| </section> | |
| <section class="px-6 py-10 text-center"> | |
| <h3 class="font-serif" style="font-size:28px;margin:0 0 8px;">Want to join us?</h3> | |
| <p class="text-gray-600 mb-6">We're hiring an engineer and a fact-checking journalist.</p> | |
| <a href="#" class="btn-outline">View open positions</a> | |
| </section> | |
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