Nicfound
Featured
Nicfound logo
2024

Nicfound

4.8

Smart tracking case for nicotine products with IoT integration

IoTHardwareMobile App+1
$2.1M
Revenue
15K+
Users
+340%
Growth
Pufftrak
Featured
Pufftrak logo
2024

Pufftrak

4.9

Advanced taper device for smoking cessation with precision control

Medical DevicePrecision EngineeringHealth Tech
$1.8M
Revenue
8K+
Users
+280%
Growth
ChatChill
Featured
ChatChill logo
2023

ChatChill

4.7

AI-powered chat platform with advanced conversation management

AIChatReal-time+1
$3.2M
Revenue
45K+
Users
+420%
Growth
Motion Records
Motion Records logo
2023

Motion Records

4.6

Digital music platform for independent artists and labels

MusicStreamingAnalytics+1
$2.5M
Revenue
30K+
Users
+190%
Growth
GlassPatch
GlassPatch logo
2023

GlassPatch

4.8

On-demand glass repair service platform with real-time tracking

ServiceMobileGPS+1
$500K+
Revenue
12K+
Users
+230%
Growth
Sperm League
Featured
Sperm League logo
2022

Sperm League

4.9

Competitive gaming platform with unique tournament system

GamingTournamentsReal-time+1
$4.2M
Revenue
120K+
Users
+510%
Growth
import tensorflow as tf
from sklearn.model_selection import train_test_split
import numpy as np

# AI Model Development
def create_neural_network():
    model = tf.keras.Sequential([
        tf.keras.layers.Dense(128, activation='relu'),
        tf.keras.layers.Dropout(0.2),
        tf.keras.layers.Dense(64, activation='relu'),
        tf.keras.layers.Dense(10, activation='softmax')
    ])
    
    model.compile(
        optimizer='adam',
        loss='sparse_categorical_crossentropy',
        metrics=['accuracy']
    )
    
    return model

# Train AI Model
def train_ai_model(X, y):
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
    model = create_neural_network()
    model.fit(X_train, y_train, epochs=100, validation_split=0.2)
    return model
P
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