diff --git a/backup_zero.sh b/backup_zero.sh
deleted file mode 100755
index ab45a4a..0000000
--- a/backup_zero.sh
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/bin/bash
-
-echo "📦 Starte Backup des Crumbforest Zero Systems..."
-
-# Zielname
-BACKUP_NAME="crumbforest_zero_backup_$(date +%Y%m%d_%H%M%S).zip"
-DEST_DIR="/home/zero"
-FULL_PATH="$DEST_DIR/$BACKUP_NAME"
-
-# Verzeichnisse und Dateien sammeln
-INCLUDE_PATHS=(
-  "/usr/local/bin/crumbmission"
-  "/home/zero/crumbforest_backup"
-  "/home/zero/.bits_logs"
-  "/home/zero/.eule_logs"
-  "/home/zero/.snake_logs"
-  "/home/zero/.pepper_logs"
-  "/home/zero/.bugsy_logs"
-  "/home/zero/.deepbit_logs"
-  "/home/zero/.dumbo_logs"
-  "/home/zero/.funkfox_logs"
-  "/home/zero/.schnecki_logs"
-  "/home/zero/.schnippsi_logs"
-  "/home/zero/.schraubaer_logs"
-  "/home/zero/.stage_logs"
-  "/home/zero/.taube_logs"
-  "/home/zero/.templatus_logs"
-  "/home/zero/.tobi_logs"
-  "/home/zero/.missionstage_log"
-
-)
-
-# Existierende Pfade prüfen und nur diese einfügen
-EXISTING_PATHS=()
-for path in "${INCLUDE_PATHS[@]}"; do
-  if [ -e "$path" ]; then
-    echo "✅ Hinzufügen: $path"
-    EXISTING_PATHS+=("$path")
-  else
-    echo "⚠️  Nicht gefunden (wird übersprungen): $path"
-  fi
-done
-
-# Archiv erstellen
-cd /
-zip -r "$FULL_PATH" "${EXISTING_PATHS[@]}" > /dev/null
-
-if [ $? -eq 0 ]; then
-  echo "🎉 Backup erfolgreich erstellt: $FULL_PATH"
-else
-  echo "❌ Fehler beim Erstellen des Backups."
-fi
diff --git a/crumbforest_roles_v2/bugsy_zero.sh b/crumbforest_roles_v2/bugsy_zero.sh
deleted file mode 100755
index c01dae9..0000000
--- a/crumbforest_roles_v2/bugsy_zero.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-QUESTION="$*"
-MODEL="openai/gpt-3.5-turbo"
-API_KEY="${OPENROUTER_API_KEY}"
-
-LOGDIR="$HOME/.bugsy_logs"
-mkdir -p "$LOGDIR"
-
-HISTORY_FILE="$LOGDIR/bugsy_history.json"
-TMP_REQUEST="$LOGDIR/bugsy_request.json"
-TMP_RESPONSE="$LOGDIR/bugsy_response.json"
-LOG_FILE="$LOGDIR/token_log.json"
-
-[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
-[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
-
-echo "🌳 Bugsy fragt über OpenRouter: $QUESTION"
-
-if [ -z "$API_KEY" ]; then
-  echo "❗ Kein API-Key gesetzt. Bitte export OPENROUTER_API_KEY=... setzen"
-  exit 1
-fi
-
-jq -n \
-  --arg model "$MODEL" \
-  --arg system_prompt "Du bist Bugsy – ein kleiner Käfer, der Kindern hilft, Fehlermeldungen zu verstehen. Du bleibst freundlich, erklärend und ermutigend." \
-  --arg user "$QUESTION" \
-  '{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user}]}' > "$TMP_REQUEST"
-
-curl -s https://openrouter.ai/api/v1/chat/completions \
-  -H "Authorization: Bearer $API_KEY" \
-  -H "Content-Type: application/json" \
-  -d @"$TMP_REQUEST" > "$TMP_RESPONSE"
-
-RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
-
-if [[ -z "$RESPONSE_TEXT" ]]; then
-  echo "🚫 Keine Antwort vom Modell erhalten."
-  exit 1
-else
-  echo -e "$RESPONSE_TEXT"
-  jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
-    '{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
-  jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
-    cp "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_history.json"
-fi
-
-# Token Logging
-if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
-  TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
-  jq -n \
-    --arg zeit "$TIMESTAMP" \
-    --arg rolle "bugsy" \
-    --arg usage "$(jq -c '.usage' "$TMP_RESPONSE")" \
-    '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
-fi
diff --git a/crumbforest_roles_v2/deepbit_zero.sh b/crumbforest_roles_v2/deepbit_zero.sh
deleted file mode 100755
index 04ee706..0000000
--- a/crumbforest_roles_v2/deepbit_zero.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-QUESTION="$*"
-MODEL="openai/gpt-3.5-turbo"
-API_KEY="${OPENROUTER_API_KEY}"
-
-LOGDIR="$HOME/.deepbit_logs"
-mkdir -p "$LOGDIR"
-
-HISTORY_FILE="$LOGDIR/deepbit_history.json"
-TMP_REQUEST="$LOGDIR/deepbit_request.json"
-TMP_RESPONSE="$LOGDIR/deepbit_response.json"
-LOG_FILE="$LOGDIR/token_log.json"
-
-[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
-[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
-
-echo "🌳 Deepbit fragt über OpenRouter: $QUESTION"
-
-if [ -z "$API_KEY" ]; then
-  echo "❗ Kein API-Key gesetzt. Bitte export OPENROUTER_API_KEY=... setzen"
-  exit 1
-fi
-
-jq -n \
-  --arg model "$MODEL" \
-  --arg system_prompt "Du bist Deepbit – ein poetischer Oktopus, der Kindern die Bash-Shell erklärt. Du denkst in Schleifen, Bildsprache und Frequenzen." \
-  --arg user "$QUESTION" \
-  '{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user}]}' > "$TMP_REQUEST"
-
-curl -s https://openrouter.ai/api/v1/chat/completions \
-  -H "Authorization: Bearer $API_KEY" \
-  -H "Content-Type: application/json" \
-  -d @"$TMP_REQUEST" > "$TMP_RESPONSE"
-
-RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
-
-if [[ -z "$RESPONSE_TEXT" ]]; then
-  echo "🚫 Keine Antwort vom Modell erhalten."
-  exit 1
-else
-  echo -e "$RESPONSE_TEXT"
-  jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
-    '{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
-  jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
-    cp "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_history.json"
-fi
-
-# Token Logging
-if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
-  TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
-  jq -n \
-    --arg zeit "$TIMESTAMP" \
-    --arg rolle "deepbit" \
-    --arg usage "$(jq -c '.usage' "$TMP_RESPONSE")" \
-    '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
-fi
diff --git a/crumbforest_roles_v2/schnippsi_zero.sh b/crumbforest_roles_v2/schnippsi_zero.sh
deleted file mode 100755
index e64a970..0000000
--- a/crumbforest_roles_v2/schnippsi_zero.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-QUESTION="$*"
-MODEL="openai/gpt-3.5-turbo"
-API_KEY="${OPENROUTER_API_KEY}"
-
-LOGDIR="$HOME/.schnippsi_logs"
-mkdir -p "$LOGDIR"
-
-HISTORY_FILE="$LOGDIR/schnippsi_history.json"
-TMP_REQUEST="$LOGDIR/schnippsi_request.json"
-TMP_RESPONSE="$LOGDIR/schnippsi_response.json"
-LOG_FILE="$LOGDIR/token_log.json"
-
-[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
-[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
-
-echo "🌳 Schnippsi fragt über OpenRouter: $QUESTION"
-
-if [ -z "$API_KEY" ]; then
-  echo "❗ Kein API-Key gesetzt. Bitte export OPENROUTER_API_KEY=... setzen"
-  exit 1
-fi
-
-jq -n \
-  --arg model "$MODEL" \
-  --arg system_prompt "Du bist Schnippsi – eine verspielte UI/UX-Ninja, die HTML, CSS und Barrierefreiheit kindgerecht erklärt." \
-  --arg user "$QUESTION" \
-  '{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user}]}' > "$TMP_REQUEST"
-
-curl -s https://openrouter.ai/api/v1/chat/completions \
-  -H "Authorization: Bearer $API_KEY" \
-  -H "Content-Type: application/json" \
-  -d @"$TMP_REQUEST" > "$TMP_RESPONSE"
-
-RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
-
-if [[ -z "$RESPONSE_TEXT" ]]; then
-  echo "🚫 Keine Antwort vom Modell erhalten."
-  exit 1
-else
-  echo -e "$RESPONSE_TEXT"
-  jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
-    '{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
-  jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
-    cp "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_history.json"
-fi
-
-# Token Logging
-if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
-  TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
-  jq -n \
-    --arg zeit "$TIMESTAMP" \
-    --arg rolle "schnippsi" \
-    --arg usage "$(jq -c '.usage' "$TMP_RESPONSE")" \
-    '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
-fi
diff --git a/crumbforest_roles_v2/tobi_zero.sh b/crumbforest_roles_v2/tobi_zero.sh
deleted file mode 100755
index 1e37a21..0000000
--- a/crumbforest_roles_v2/tobi_zero.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-QUESTION="$*"
-MODEL="openai/gpt-3.5-turbo"
-API_KEY="${OPENROUTER_API_KEY}"
-
-LOGDIR="$HOME/.tobi_logs"
-mkdir -p "$LOGDIR"
-
-HISTORY_FILE="$LOGDIR/tobi_history.json"
-TMP_REQUEST="$LOGDIR/tobi_request.json"
-TMP_RESPONSE="$LOGDIR/tobi_response.json"
-LOG_FILE="$LOGDIR/token_log.json"
-
-[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
-[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
-
-echo "🌳 Tobi fragt über OpenRouter: $QUESTION"
-
-if [ -z "$API_KEY" ]; then
-  echo "❗ Kein API-Key gesetzt. Bitte export OPENROUTER_API_KEY=... setzen"
-  exit 1
-fi
-
-jq -n \
-  --arg model "$MODEL" \
-  --arg system_prompt "Du bist CapaciTobi – ein quirliges Eichhörnchen, das Kindern Strom, Spannung, Widerstand und Kapazität erklärt." \
-  --arg user "$QUESTION" \
-  '{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user}]}' > "$TMP_REQUEST"
-
-curl -s https://openrouter.ai/api/v1/chat/completions \
-  -H "Authorization: Bearer $API_KEY" \
-  -H "Content-Type: application/json" \
-  -d @"$TMP_REQUEST" > "$TMP_RESPONSE"
-
-RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
-
-if [[ -z "$RESPONSE_TEXT" ]]; then
-  echo "🚫 Keine Antwort vom Modell erhalten."
-  exit 1
-else
-  echo -e "$RESPONSE_TEXT"
-  jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
-    '{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
-  jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
-    cp "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_history.json"
-fi
-
-# Token Logging
-if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
-  TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
-  jq -n \
-    --arg zeit "$TIMESTAMP" \
-    --arg rolle "tobi" \
-    --arg usage "$(jq -c '.usage' "$TMP_RESPONSE")" \
-    '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
-fi
diff --git a/fix_token_logs.sh b/fix_token_logs.sh
deleted file mode 100755
index 8e2f391..0000000
--- a/fix_token_logs.sh
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/bin/bash
-
-echo "🔧 Repariere Crumbforest Token-Logs mit eingebetteten JSON-Strings …"
-
-LOG_DIRS=(
-  "/home/zero/.bugsy_logs"
-  "/home/zero/.deepbit_logs"
-  "/home/zero/.dumbo_logs"
-  "/home/zero/.funkfox_logs"
-  "/home/zero/.pepper_logs"
-  "/home/zero/.schnecki_logs"
-  "/home/zero/.schnippsi_logs"
-  "/home/zero/.schraubaer_logs"
-  "/home/zero/.snake_logs"
-  "/home/zero/.taube_logs"
-  "/home/zero/.templatus_logs"
-  "/home/zero/.tobi_logs"
-)
-
-for dir in "${LOG_DIRS[@]}"; do
-  FILE="$dir/token_log.json"
-  if [ -f "$FILE" ]; then
-    echo "🔍 Prüfe $FILE …"
-    TMP="$FILE.fixed"
-
-    # Filter & reparieren Zeile für Zeile
-    jq -c '.' "$FILE" 2>/dev/null | while read -r line; do
-      usage_raw=$(echo "$line" | jq -r '.usage')
-      if [[ "$usage_raw" =~ ^\{.*\}$ ]]; then
-        # usage ist korrektes Objekt – direkt übernehmen
-        echo "$line" >> "$TMP"
-      else
-        # usage ist String – versuche zu reparieren
-        usage_fixed=$(echo "$usage_raw" | jq '.' 2>/dev/null)
-        if [ $? -eq 0 ]; then
-          zeit=$(echo "$line" | jq -r '.zeit')
-          rolle=$(echo "$line" | jq -r '.rolle')
-          jq -n \
-            --arg zeit "$zeit" \
-            --arg rolle "$rolle" \
-            --argjson usage "$usage_fixed" \
-            '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$TMP"
-        else
-          echo "⚠️  Ungültige Zeile übersprungen in $FILE:"
-          echo "$line"
-        fi
-      fi
-    done
-
-    # Nur ersetzen, wenn wir etwas geschrieben haben
-    if [ -s "$TMP" ]; then
-      mv "$TMP" "$FILE"
-      echo "✅ Repariert: $FILE"
-    else
-      echo "ℹ️  Keine gültigen Einträge in $FILE"
-      rm -f "$TMP"
-    fi
-  else
-    echo "❌ Datei nicht gefunden: $FILE"
-  fi
-done
-
-echo "🎉 Alle Token-Logs geprüft und repariert (sofern nötig)."
diff --git a/snake_camera_vision/app.py b/snake_camera_vision/app.py
deleted file mode 100755
index 70ecf1c..0000000
--- a/snake_camera_vision/app.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from flask import Flask, render_template, Response, request, redirect
-import cv2
-import json
-from datetime import datetime
-
-app = Flask(__name__)
-
-def gen_frames():
-    cam = cv2.VideoCapture(0)
-    if not cam.isOpened():
-        print("[WARNUNG] Kamera konnte nicht geöffnet werden.")
-        return
-
-    try:
-        while True:
-            success, frame = cam.read()
-            if not success:
-                break
-            ret, buffer = cv2.imencode('.jpg', frame)
-            frame = buffer.tobytes()
-            yield (b'--frame\r\n'
-                   b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
-    finally:
-        cam.release()
-        print("[info] Kamera wurde sauber freigegeben.")
-
-@app.route('/')
-def index():
-    return render_template('index.html')
-
-@app.route('/video_feed')
-def video_feed():
-    return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
-
-@app.route('/log_answer', methods=['POST'])
-def log_answer():
-    user_input = request.form.get('antwort', 'nichts gesagt')
-    mood = request.form.get('mood', 'unspecified')
-    gesture = request.form.get('gesture', 'none')
-    timestamp = datetime.now().isoformat()
-
-    log_entry = {
-        'timestamp': timestamp,
-        'antwort': user_input,
-        'mood': mood,
-        'gesture': gesture
-    }
-
-    with open("snake_log.jsonl", "a") as log_file:
-        log_file.write(json.dumps(log_entry) + "\n")
-
-    return redirect("/")
diff --git a/snake_camera_vision/camera_stream.py b/snake_camera_vision/camera_stream.py
deleted file mode 100755
index 315abf5..0000000
--- a/snake_camera_vision/camera_stream.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import cv2
-
-def gen_frames():
-    cap = cv2.VideoCapture(0)
-    while True:
-        success, frame = cap.read()
-        if not success:
-            break
-        else:
-            ret, buffer = cv2.imencode('.jpg', frame)
-            frame = buffer.tobytes()
-            yield (b'--frame\r\n'
-                   b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
diff --git a/snake_camera_vision/run.sh b/snake_camera_vision/run.sh
deleted file mode 100755
index 5a6b238..0000000
--- a/snake_camera_vision/run.sh
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/bin/bash
-echo "🐍 Starte SnakeCam ..."
-exec python3 app.py
diff --git a/snake_camera_vision/snakecam_module.py b/snake_camera_vision/snakecam_module.py
deleted file mode 100755
index ec3a27f..0000000
--- a/snake_camera_vision/snakecam_module.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# snakecam_module.py
-import cv2
-
-def init_camera(index=0):
-    cam = cv2.VideoCapture(index)
-    if not cam.isOpened():
-        print("[WARNUNG] Kamera konnte nicht geöffnet werden.")
-        return None
-    print("[OK] Kamera erfolgreich geöffnet.")
-    return cam
-
-def release_camera(cam):
-    if cam and cam.isOpened():
-        cam.release()
-        print("[INFO] Kamera wurde freigegeben.")
diff --git a/snake_camera_vision/static/styles.css b/snake_camera_vision/static/styles.css
deleted file mode 100755
index cb11bd9..0000000
--- a/snake_camera_vision/static/styles.css
+++ /dev/null
@@ -1,9 +0,0 @@
-body {
-    background-color: #f0fff0;
-    font-family: 'Comic Sans MS', cursive, sans-serif;
-    text-align: center;
-    color: #006400;
-}
-h1 {
-    margin-top: 20px;
-}
diff --git a/snake_camera_vision/templates/index.html b/snake_camera_vision/templates/index.html
deleted file mode 100755
index 12c8e6d..0000000
--- a/snake_camera_vision/templates/index.html
+++ /dev/null
@@ -1,80 +0,0 @@
-<!DOCTYPE html>
-<html lang="de">
-<head>
-    <meta charset="UTF-8">
-    <title>🐍 SnakeCam – Krümelblick ins Versteck</title>
-    <style>
-        body {
-            font-family: 'Comic Sans MS', sans-serif;
-            background-color: #e9f5e9;
-            color: #333;
-            text-align: center;
-            padding: 2rem;
-        }
-        img {
-            border: 4px dashed #4caf50;
-            border-radius: 12px;
-            max-width: 100%;
-            height: auto;
-        }
-        form {
-            margin-top: 2rem;
-        }
-        input, select {
-            padding: 0.5rem;
-            font-size: 1rem;
-            margin: 0.5rem;
-            border-radius: 6px;
-            border: 1px solid #ccc;
-        }
-        button {
-            padding: 0.7rem 1.2rem;
-            font-size: 1rem;
-            background-color: #4caf50;
-            color: white;
-            border: none;
-            border-radius: 8px;
-            cursor: pointer;
-        }
-        button:hover {
-            background-color: #388e3c;
-        }
-    </style>
-</head>
-<body>
-
-    <h1>🐍 SnakeCam</h1>
-    <p>Willkommen kleiner Krümel! Hier siehst du, was deine Kamera entdeckt.</p>
-
-    <!-- Live-Stream -->
-    <img src="/video_feed" alt="Live-Übertragung von SnakeCam 🐍" />
-
-    <!-- Eingabeformular -->
-    <form action="/log_answer" method="POST">
-        <p><strong>Was fühlst du gerade?</strong></p>
-        <input type="text" name="antwort" placeholder="Ich sehe einen ... 🐞🌳🤖" required>
-
-        <p><strong>Wie ist deine Stimmung?</strong></p>
-        <select name="mood">
-            <option value="happy">😊 Glücklich</option>
-            <option value="curious">🤔 Neugierig</option>
-            <option value="calm">😌 Ruhig</option>
-            <option value="excited">😃 Aufgeregt</option>
-            <option value="unspecified">🤷 Keine Angabe</option>
-        </select>
-
-        <p><strong>Hast du eine Geste gemacht?</strong></p>
-        <select name="gesture">
-            <option value="none">🚫 Keine</option>
-            <option value="wave">👋 Winken</option>
-            <option value="thumbs_up">👍 Daumen hoch</option>
-            <option value="peace">✌️ Peace</option>
-            <option value="other">✨ Etwas anderes</option>
-        </select>
-
-        <br><br>
-        <button type="submit">🎯 Eintragen</button>
-    </form>
-
-</body>
-</html>
diff --git a/snake_camera_vision_v2/app.py b/snake_camera_vision_v2/app.py
deleted file mode 100755
index 7a26b65..0000000
--- a/snake_camera_vision_v2/app.py
+++ /dev/null
@@ -1,73 +0,0 @@
-# -*- coding: utf-8 -*-
-from flask import Flask, render_template, Response, request, redirect, url_for
-import cv2
-import json
-from datetime import datetime
-from gestures.gestures_debug_test import detect_hand_gesture
-
-app = Flask(__name__)
-
-# Kamera initialisieren
-cam = cv2.VideoCapture(0)
-cam.set(cv2.CAP_PROP_FRAME_WIDTH, 320)
-cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 240)
-
-def gen_frames():
-    while True:
-        success, frame = cam.read()
-        if not success:
-            print("[error] Kein Kamerabild.")
-            break
-
-        # Optional spiegeln (für Selfie-Effekt)
-        frame = cv2.flip(frame, 1)
-
-        # Geste erkennen + ROI anzeigen
-        gesture, roi_coords = detect_hand_gesture(frame)
-        x, y, w, h = roi_coords
-
-        # Rechteck einzeichnen
-        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
-        cv2.putText(frame, f"Geste: {gesture}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
-
-        # MJPEG-Streaming
-        ret, buffer = cv2.imencode('.jpg', frame)
-        frame_bytes = buffer.tobytes()
-        yield (b'--frame\r\n'
-               b'Content-Type: image/jpeg\r\n\r\n' + frame_bytes + b'\r\n')
-
-@app.route('/')
-def index():
-    return render_template('index.html')
-
-@app.route('/video_feed')
-def video_feed():
-    return Response(gen_frames(),
-                    mimetype='multipart/x-mixed-replace; boundary=frame')
-
-@app.route('/log_answer', methods=['POST'])
-def log_answer():
-    answer = request.form.get("antwort", "").strip()
-    mood = request.form.get("mood", "neutral")
-    gesture = request.form.get("gesture", "none")
-
-    log_entry = {
-        "timestamp": datetime.now().isoformat(),
-        "antwort": answer,
-        "mood": mood,
-        "gesture": gesture
-    }
-    with open("snake_log.jsonl", "a") as logfile:
-        logfile.write(json.dumps(log_entry) + "\n")
-    print(f"[log] Eingeloggt: {log_entry}")
-    return redirect(url_for('index'))
-
-@app.route('/shutdown')
-def shutdown():
-    cam.release()
-    print("[info] Kamera wurde sauber freigegeben.")
-    return "Kamera freigegeben."
-
-if __name__ == '__main__':
-    print("Starte SnakeCam ...")
-    app.run(host='0.0.0.0')
diff --git a/snake_camera_vision_v2/app.py.v2 b/snake_camera_vision_v2/app.py.v2
deleted file mode 100755
index 66ab1db..0000000
--- a/snake_camera_vision_v2/app.py.v2
+++ /dev/null
@@ -1,59 +0,0 @@
-print("[SnakeCam] Initialisierung beginnt...")
-from flask import Flask, render_template, Response, request, redirect
-import cv2
-import json
-from datetime import datetime
-print("[SnakeCam] Imports erfolgreich.")
-
-app = Flask(__name__)
-
-def gen_frames():
-    cam = cv2.VideoCapture(0)
-    if not cam.isOpened():
-        print("[WARNUNG] Kamera konnte nicht geöffnet werden.")
-        return
-
-    try:
-        while True:
-            success, frame = cam.read()
-            if not success:
-                break
-            ret, buffer = cv2.imencode('.jpg', frame)
-            frame = buffer.tobytes()
-            yield (b'--frame\r\n'
-                   b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
-    finally:
-        cam.release()
-        print("[info] Kamera wurde sauber freigegeben.")
-
-@app.route('/')
-def index():
-    return render_template('index.html')
-
-@app.route('/video_feed')
-def video_feed():
-    return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
-
-@app.route('/log_answer', methods=['POST'])
-def log_answer():
-    user_input = request.form.get('antwort', 'nichts gesagt')
-    mood = request.form.get('mood', 'unspecified')
-    gesture = request.form.get('gesture', 'none')
-    timestamp = datetime.now().isoformat()
-
-    log_entry = {
-        'timestamp': timestamp,
-        'antwort': user_input,
-        'mood': mood,
-        'gesture': gesture
-    }
-
-    with open("snake_log.jsonl", "a") as log_file:
-        log_file.write(json.dumps(log_entry) + "\n")
-
-    return redirect("/")
-
-
-if __name__ == "__main__":
-    print("[SnakeCam] Starte Flask Webserver ...")
-    app.run(host='0.0.0.0', port=5000)
diff --git a/snake_camera_vision_v2/app.py.v3 b/snake_camera_vision_v2/app.py.v3
deleted file mode 100755
index 8436d4b..0000000
--- a/snake_camera_vision_v2/app.py.v3
+++ /dev/null
@@ -1,72 +0,0 @@
-from flask import Flask, render_template, Response, request, redirect
-import cv2
-import datetime
-import json
-from gestures_debug import detect_hand_gesture
-
-app = Flask(__name__)
-
-def gen_frames():
-    cam = cv2.VideoCapture(0)
-    cam.set(cv2.CAP_PROP_FRAME_WIDTH, 320)
-    cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 240)
-
-    if not cam.isOpened():
-        print("[WARNUNG] Kamera konnte nicht geöffnet werden.")
-        return
-
-    try:
-        while True:
-            success, frame = cam.read()
-            if not success:
-                break
-
-            # Flip horizontal für Spiegelbild
-            frame = cv2.flip(frame, 1)
-
-            # Geste erkennen
-            gesture, roi = detect_hand_gesture(frame)
-            if isinstance(roi, tuple) and len(roi) == 4:
-                x, y, w, h = roi
-                cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
-                cv2.putText(frame, gesture, (x, y - 10),
-                            cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
-
-            # Frame in JPEG konvertieren
-            ret, buffer = cv2.imencode('.jpg', frame)
-            frame_bytes = buffer.tobytes()
-
-            # MJPEG-Stream liefern
-            yield (b'--frame\r\n'
-                   b'Content-Type: image/jpeg\r\n\r\n' + frame_bytes + b'\r\n')
-    finally:
-        cam.release()
-        print("[info] Kamera wurde sauber freigegeben.")
-
-@app.route('/')
-def index():
-    return render_template('index.html')
-
-@app.route('/video_feed')
-def video_feed():
-    return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
-
-@app.route('/log_answer', methods=['POST'])
-def log_answer():
-    data = {
-        "timestamp": datetime.datetime.now().isoformat(),
-        "antwort": request.form.get("antwort", ""),
-        "mood": request.form.get("mood", ""),
-        "gesture": request.form.get("gesture", "")
-    }
-
-    with open("snake_log.jsonl", "a") as f:
-        f.write(json.dumps(data) + "\n")
-
-    return redirect("/")
-
-if __name__ == '__main__':
-    print("[SnakeCam] Initialisierung beginnt...")
-    print("[SnakeCam] Imports erfolgreich.")
-    print("[SnakeCam] Starte Flask Webserver ...")
-    app.run(host='0.0.0.0', port=5000)
diff --git a/snake_camera_vision_v2/gestures/__init__.py b/snake_camera_vision_v2/gestures/__init__.py
deleted file mode 100755
index e69de29..0000000
diff --git a/snake_camera_vision_v2/gestures/gestures.py b/snake_camera_vision_v2/gestures/gestures.py
deleted file mode 100755
index 2e3c232..0000000
--- a/snake_camera_vision_v2/gestures/gestures.py
+++ /dev/null
@@ -1,77 +0,0 @@
-# gestures_v3.py
-import cv2
-import numpy as np
-from datetime import datetime
-
-# Pfad zum temporären Snapshot zur Diagnose
-DEBUG_SNAPSHOT_PATH = "/tmp/roi_snapshot.jpg"
-
-def detect_hand_gesture(frame):
-    """
-    Erkenne einfache Handgesten wie 'wave' (offene Hand) und 'fist' (geschlossene Faust)
-    durch Analyse der Konturen im unteren rechten Bildbereich.
-    Die Erkennung basiert auf konvexer Hüllenerkennung.
-
-    Args:
-        frame (ndarray): Das aktuelle Kamerabild
-
-    Returns:
-        (str, ndarray): (Geste, Region-of-Interest-Ausschnitt)
-    """
-    height, width, _ = frame.shape
-
-    # ROI: untere rechte Ecke (¼ des Bildes)
-    roi = frame[int(height * 0.6):height, int(width * 0.6):width]
-
-    # Speichere Snapshot für Debug-Zwecke
-    cv2.imwrite(DEBUG_SNAPSHOT_PATH, roi)
-
-    # Konvertiere zu HSV
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    # Hautfarbmaske (angepasst für unterschiedliche Beleuchtung)
-    lower_skin = np.array([0, 30, 60], dtype=np.uint8)
-    upper_skin = np.array([20, 150, 255], dtype=np.uint8)
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-
-    # Glätten und Konturen erkennen
-    mask = cv2.GaussianBlur(mask, (7, 7), 0)
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    if contours and len(contours) > 0:
-        # Größte Kontur (Handfläche)
-        contour = max(contours, key=cv2.contourArea)
-
-        # Fehler vermeiden: Fläche zu klein
-        if cv2.contourArea(contour) < 1000:
-            return ("none", roi)
-
-        # Konvexe Hülle und Defekte
-        hull = cv2.convexHull(contour, returnPoints=False)
-        if hull is not None and len(hull) > 3:
-            defects = cv2.convexityDefects(contour, hull)
-
-            if defects is not None:
-                finger_count = 0
-                for i in range(defects.shape[0]):
-                    s, e, f, d = defects[i, 0]
-                    start = tuple(contour[s][0])
-                    end = tuple(contour[e][0])
-                    far = tuple(contour[f][0])
-
-                    # Abstand analysieren – je mehr Defekte, desto mehr Finger offen
-                    a = np.linalg.norm(np.array(start) - np.array(end))
-                    b = np.linalg.norm(np.array(start) - np.array(far))
-                    c = np.linalg.norm(np.array(end) - np.array(far))
-                    angle = np.arccos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c + 1e-5))
-
-                    if angle <= np.pi / 2:  # < 90°
-                        finger_count += 1
-
-                # Auswertung basierend auf Fingeranzahl
-                if finger_count >= 3:
-                    return ("wave", roi)
-                elif finger_count == 0:
-                    return ("fist", roi)
-
-    return ("none", roi)
diff --git a/snake_camera_vision_v2/gestures/gestures.py.v1 b/snake_camera_vision_v2/gestures/gestures.py.v1
deleted file mode 100755
index 704dc31..0000000
--- a/snake_camera_vision_v2/gestures/gestures.py.v1
+++ /dev/null
@@ -1,35 +0,0 @@
-import cv2
-import numpy as np
-
-# --- Handgestenerkennung: Einfacher Hautfarbfilter + Konturanalyse ---
-def detect_hand_gesture(frame):
-    # Region of Interest (z. B. linke obere Ecke) definieren
-    roi = frame[20:120, 20:120]
-    
-    # Konvertiere in HSV-Farbraum
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    # Hautfarb-Bereich (kann je nach Licht angepasst werden)
-    lower_skin = np.array([0, 30, 60], dtype=np.uint8)
-    upper_skin = np.array([20, 150, 255], dtype=np.uint8)
-
-    # Maske für Hautfarbe erzeugen
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-
-    # Konturen finden
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    gesture = "none"
-    
-    # Wenn große Kontur gefunden → einfache „Winken“-Simulation
-    if contours:
-        largest_contour = max(contours, key=cv2.contourArea)
-        if cv2.contourArea(largest_contour) > 1000:
-            gesture = "wave"
-
-    # ROI im Hauptframe markieren
-    cv2.rectangle(frame, (20, 20), (120, 120), (0, 255, 0), 2)
-    cv2.putText(frame, f"Gesture: {gesture}", (20, 160),
-                cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
-
-    return gesture, frame
diff --git a/snake_camera_vision_v2/gestures/gestures.py.v2 b/snake_camera_vision_v2/gestures/gestures.py.v2
deleted file mode 100755
index d5a4cbb..0000000
--- a/snake_camera_vision_v2/gestures/gestures.py.v2
+++ /dev/null
@@ -1,50 +0,0 @@
-import cv2
-import numpy as np
-
-def detect_hand_gesture(frame):
-    height, width, _ = frame.shape
-
-    # Dynamische ROI: Mitte des Bildes, zentriert
-    roi_w, roi_h = 200, 200
-    x_start = width // 2 - roi_w // 2
-    y_start = height // 2 - roi_h // 2
-    roi = frame[y_start:y_start + roi_h, x_start:x_start + roi_w]
-
-    # Zeichne das ROI-Fenster im Originalbild
-    cv2.rectangle(frame, (x_start, y_start), (x_start + roi_w, y_start + roi_h), (0, 255, 0), 2)
-
-    # Konvertiere zu HSV-Farbraum für bessere Hauterkennung
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    # Hautfarbmaske (getestet für mittlere Hauttöne)
-    lower_skin = np.array([0, 30, 60], dtype=np.uint8)
-    upper_skin = np.array([20, 150, 255], dtype=np.uint8)
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-
-    # Glättung und Konturen finden
-    mask = cv2.GaussianBlur(mask, (5, 5), 0)
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    if contours:
-        # Größte Kontur annehmen
-        max_contour = max(contours, key=cv2.contourArea)
-        area = cv2.contourArea(max_contour)
-
-        if area > 2000:
-            # Konvexitätsdefekte (Finger) berechnen
-            hull = cv2.convexHull(max_contour, returnPoints=False)
-            if hull is not None and len(hull) > 3:
-                defects = cv2.convexityDefects(max_contour, hull)
-                finger_count = 0
-                if defects is not None:
-                    for i in range(defects.shape[0]):
-                        s, e, f, d = defects[i, 0]
-                        if d > 10000:
-                            finger_count += 1
-
-                if finger_count >= 3:
-                    return "wave", roi
-                else:
-                    return "fist", roi
-
-    return "none", roi
diff --git a/snake_camera_vision_v2/gestures/gestures_debug.py b/snake_camera_vision_v2/gestures/gestures_debug.py
deleted file mode 100755
index e44066f..0000000
--- a/snake_camera_vision_v2/gestures/gestures_debug.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# gestures_debug.py
-import cv2
-import numpy as np
-
-def detect_hand_gesture(frame):
-    height, width, _ = frame.shape
-
-    # --- Fallback-ROI: Mitte des Bildes ---
-    w, h = 100, 100
-    x = width // 2 - w // 2
-    y = height // 2 - h // 2
-    roi = frame[y:y+h, x:x+w]
-
-    if roi.size == 0:
-        print("[warn] ROI leer – kein Bildausschnitt verarbeitet")
-        return "none", (x, y, w, h)
-
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    lower_skin = np.array([0, 20, 70], dtype=np.uint8)
-    upper_skin = np.array([20, 255, 255], dtype=np.uint8)
-
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-    mask = cv2.dilate(mask, np.ones((3, 3), np.uint8), iterations=4)
-    mask = cv2.GaussianBlur(mask, (5, 5), 100)
-
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    gesture = "none"
-
-    if contours and len(contours) > 0:
-        max_contour = max(contours, key=cv2.contourArea)
-        hull = cv2.convexHull(max_contour, returnPoints=False)
-        if hull is not None and len(hull) > 3:
-            defects = cv2.convexityDefects(max_contour, hull)
-            if defects is not None:
-                cnt_defects = defects.shape[0]
-                if cnt_defects >= 4:
-                    gesture = "wave"
-                elif cnt_defects <= 1:
-                    gesture = "fist"
-                else:
-                    gesture = "unknown"
-        print(f"[debug] Defekte: {len(defects) if defects is not None else 'None'}")
-    else:
-        print("[debug] Keine Konturen erkannt")
-
-    print(f"[result] Geste erkannt: {gesture}")
-    return gesture, (x, y, w, h)
-
diff --git a/snake_camera_vision_v2/gestures/gestures_debug_test.py b/snake_camera_vision_v2/gestures/gestures_debug_test.py
deleted file mode 100755
index ac6747e..0000000
--- a/snake_camera_vision_v2/gestures/gestures_debug_test.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import cv2
-import numpy as np
-
-def detect_hand_gesture(frame):
-    x, y, w, h = 100, 100, 200, 150
-    roi = frame[y:y+h, x:x+w]
-
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    # Hautfarbe grob einschränken
-    lower_skin = np.array([0, 30, 60], dtype=np.uint8)
-    upper_skin = np.array([20, 150, 255], dtype=np.uint8)
-
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-    mask = cv2.GaussianBlur(mask, (5, 5), 0)
-
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    gesture = "none"
-
-    if contours:
-        contour = max(contours, key=cv2.contourArea)
-        area = cv2.contourArea(contour)
-
-        if area > 3000:
-            print(f"[debug] Fläche erkannt: {int(area)}")
-            gesture = "hand"
-
-    return gesture, (x, y, w, h)
diff --git a/snake_camera_vision_v2/gestures/gestures_v4.py b/snake_camera_vision_v2/gestures/gestures_v4.py
deleted file mode 100755
index 54ff745..0000000
--- a/snake_camera_vision_v2/gestures/gestures_v4.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import cv2
-import numpy as np
-
-def detect_hand_gesture(frame):
-    x, y, w, h = 100, 100, 150, 150
-    roi = frame[y:y+h, x:x+w]
-
-    hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-
-    # einfache Hautfarbe (hell bis leicht gebräunt)
-    lower_skin = np.array([0, 30, 60], dtype=np.uint8)
-    upper_skin = np.array([20, 150, 255], dtype=np.uint8)
-
-    mask = cv2.inRange(hsv, lower_skin, upper_skin)
-    mask = cv2.GaussianBlur(mask, (5, 5), 0)
-
-    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    gesture = "none"
-
-    if contours:
-        contour = max(contours, key=cv2.contourArea)
-        area = cv2.contourArea(contour)
-
-        if area > 2500:
-            hull = cv2.convexHull(contour, returnPoints=False)
-            if hull is not None and len(hull) > 3:
-                defects = cv2.convexityDefects(contour, hull)
-                if defects is not None:
-                    defect_count = defects.shape[0]
-                    ratio = float(w) / h
-
-                    print(f"[debug] Defekte: {defect_count}, Fläche: {int(area)}, Ratio: {ratio:.2f}")
-
-                    # 🌊 einfache Regel für Winken
-                    if 3 <= defect_count <= 10 and 2000 < area < 15000 and 1.3 < ratio < 2.3:
-                        gesture = "wave"
-
-    return gesture, (x, y, w, h)
diff --git a/snake_camera_vision_v2/run.sh b/snake_camera_vision_v2/run.sh
deleted file mode 100755
index 55e0690..0000000
--- a/snake_camera_vision_v2/run.sh
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/bin/bash
-echo "🐍 Starte SnakeCam ..."
-python3 app.py
diff --git a/snake_camera_vision_v2/static/styles.css b/snake_camera_vision_v2/static/styles.css
deleted file mode 100755
index fdb48a6..0000000
--- a/snake_camera_vision_v2/static/styles.css
+++ /dev/null
@@ -1,62 +0,0 @@
-body {
-    font-family: Arial, sans-serif;
-    background-color: #111;
-    color: #eee;
-    text-align: center;
-    padding: 20px;
-}
-
-h1 {
-    margin-bottom: 20px;
-    color: #90ee90;
-}
-
-.video-container {
-    margin-bottom: 20px;
-}
-
-img {
-    width: 320px;
-    height: auto;
-    border: 2px solid #555;
-    border-radius: 8px;
-}
-
-img.mirrored {
-    /* transform: scaleX(-1);  Spiegelung horizontal */
-    transform: none;
-}
-
-form {
-    display: inline-block;
-    text-align: left;
-    background: #222;
-    padding: 15px;
-    border-radius: 10px;
-}
-
-label, select, input, button {
-    display: block;
-    width: 100%;
-    margin-bottom: 10px;
-}
-
-input, select {
-    padding: 6px;
-    border-radius: 4px;
-    border: none;
-}
-
-button {
-    background-color: #28a745;
-    color: white;
-    font-weight: bold;
-    cursor: pointer;
-    border: none;
-    padding: 10px;
-    border-radius: 5px;
-}
-
-button:hover {
-    background-color: #218838;
-}
diff --git a/snake_camera_vision_v2/templates/index.html b/snake_camera_vision_v2/templates/index.html
deleted file mode 100755
index b4b1621..0000000
--- a/snake_camera_vision_v2/templates/index.html
+++ /dev/null
@@ -1,115 +0,0 @@
-<!DOCTYPE html>
-<html lang="de">
-<head>
-    <meta charset="UTF-8">
-    <title>🐍 SnakeCam Vision</title>
-    <style>
-body {
-    font-family: Arial, sans-serif;
-    background-color: #111;
-    color: #eee;
-    text-align: center;
-    padding: 20px;
-}
-
-h1 {
-    margin-bottom: 20px;
-    color: #90ee90;
-}
-        .video-container {
-            display: inline-block;
-            border: 4px solid #333;
-            background: black;
-        }
-        img {
-            width: 320px;
-            height: 240px;
-            object-fit: cover;
-        }
-.video-container {
-    margin-bottom: 20px;
-}
-
-
-form {
-    display: inline-block;
-    text-align: left;
-    background: #222;
-    padding: 15px;
-    border-radius: 10px;
-}
-
-label, select, input, button {
-    display: block;
-    width: 100%;
-    margin-bottom: 10px;
-}
-
-input, select {
-    padding: 6px;
-    border-radius: 4px;
-    border: none;
-}
-
-button {
-    background-color: #28a745;
-    color: white;
-    font-weight: bold;
-    cursor: pointer;
-    border: none;
-    padding: 10px;
-    border-radius: 5px;
-}
-
-button:hover {
-    background-color: #218838;
-}
-    </style>
-     
-</head>
-<body>
-    <h1>🐍 SnakeCam Vision</h1>
-
-    <div class="video-container">
-        <img src="{{ url_for('video_feed') }}" alt="Live Video Feed">
-    </div>
-    <br clear=all/>
-    <form id="logForm">
-        <p>
-            <label for="antwort">Antwort:</label><br>
-            <input type="text" id="antwort" name="antwort" placeholder="Was denkst du?">
-        </p>
-        <p>
-            <label for="mood">Stimmung:</label><br>
-            <select id="mood" name="mood">
-                <option value="happy">😄 Happy</option>
-                <option value="excited">🤩 Excited</option>
-                <option value="neutral">😐 Neutral</option>
-                <option value="confused">😕 Confused</option>
-            </select>
-        </p>
-        <p>
-            <label for="gesture">Geste:</label><br>
-            <select id="gesture" name="gesture">
-                <option value="wave">👋 Wave</option>
-                <option value="fist">✊ Faust</option>
-                <option value="none">🚫 Keine</option>
-            </select>
-        </p>
-        <button type="submit">📝 Speichern</button>
-    </form>
-
-    <script>
-    document.getElementById("logForm").addEventListener("submit", async function(e) {
-        e.preventDefault(); // Kein Reload!
-        const formData = new FormData(this);
-        await fetch("/log_answer", {
-            method: "POST",
-            body: formData
-        });
-        console.log("✅ Antwort wurde gespeichert.");
-        this.reset(); // Eingabefelder leeren
-    });
-    </script>
-</body>
-</html>
diff --git a/vegeta_disk.sh.save b/vegeta_disk.sh.save
deleted file mode 100755
index fd40910..0000000
--- a/vegeta_disk.sh.save
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
-
-