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Automation

Search Text Box Search ( 'Personal Informations' , TextInput1 . Text , cr2bf_phonenumber , cr2bf_email ) Live Time Text(Now(), "[$-en-US]dd/mm/yyyy hh:mm:ss AM/PM") To show live date and time in Microsoft Power Apps , follow these steps: ✅ Step-by-step: Insert a Label onto your screen. Set the Text property of the label to: Text(Now(), "[$-en-US]dd/mm/yyyy hh:mm:ss AM/PM") This will display the current date and time in dd/mm/yyyy hh:mm:ss format. ⏱ To Make It Update Live (Auto Refresh): Power Apps doesn't auto-refresh labels on its own, so to simulate a live clock: Add a Timer control to the screen ( Insert > Input > Timer ). Set these Timer properties: Duration : 1000 (for 1 second) Repeat : true AutoStart : true OnTimerEnd : Set(CurrentTime, Now()) Then set the label’s Text to: Text(CurrentTime, "[$-en-US]dd/mm/yyyy hh:mm:ss AM/PM") Role Base Access If (     User () . Email = "adit...

Exploring the '1008+ Mini Apps' Application: A Gateway to Simplified Web Navigation In today's digital age, the sheer number of websites and applications available can be overwhelming. Navigating between multiple platforms often requires juggling numerous tabs or installing various apps, each serving a specific purpose. Recognizing this challenge, the '1008+ Mini Apps' application emerges as a solution, offering users a consolidated platform to access a multitude of popular websites seamlessly. Overview of '1008+ Mini Apps' Developed by Bhati Capital, '1008+ Mini Apps' is designed to streamline the user experience by aggregating various renowned websites into a single interface. This approach eliminates the need for users to switch between different applications or browser tabs, providing a more efficient and organized browsing experience.  Key Features Centralized Access: The primary allure of '1008+ Mini Apps' is its ability to house numero...

Normalization is used to scale data to a specific range (often between 0 and 1 ) to improve the performance and accuracy of machine learning models and data analysis. Here are the main reasons why we use normalization: ✅ 1. To Improve Model Performance Why? Many machine learning algorithms (e.g., linear regression, neural networks) perform better when input features are on a similar scale . Example: If one feature is in the range 0-1000 (e.g., age) and another is 0-1 (e.g., probability), the model may give more importance to larger values. ✅ 2. Faster Convergence in Training Why? Gradient-based algorithms like gradient descent converge faster on normalized data because the cost function surface becomes smoother. Example: In neural networks, if inputs are not normalized, the weights can grow too large and slow down learning. ✅ 3. Preventing Bias in Models Why? Models without normalization may favor larger scales and ignore smaller-scale features, leadi...

  SmartAgri - A Startup For Farmers Vision To bring revolution in Indian agriculture by providing AI-powered weather forecasting and smart farming solutions to farmers, ensuring higher productivity and reduced losses. Problem Statement: Farmers lack reliable weather forecasts, leading to unpredictable crop losses. Traditional farming methods reduce soil fertility and limit crop diversity. Uncertainty in selecting the best crops, fertilizers, and pesticides reduces productivity. Lack of technological adoption in rural areas leads to financial losses and inefficient farming. Market Opportunity: Target Audience: 120 million farmers in India (60% of the population depends on agriculture). Growing Demand: Rising climate unpredictability creates demand for smart farming solutions. Government focus on agritech and subsidies to improve farming productivity. Projected Market Size: The Indian agritech market is estimated to grow to $35 billion by 2030. High adoption potential due to the nee...

In the rapidly advancing world of AI, many conversational models compete to be the most efficient, creative, and insightful. ChatGPT, developed by OpenAI, has been a leader in conversational AI for years. However, a new contender, DeepSeek AI, has emerged and started making waves in the AI landscape. Here, we dive deep into how DeepSeek managed to outshine ChatGPT in key areas. Enhanced Context Understanding One of the biggest challenges in conversational AI is maintaining context over long conversations. While ChatGPT handles this fairly well, DeepSeek incorporates a novel memory architecture that allows it to: Recall specific details from earlier parts of the conversation with higher precision. Distinguish between essential and non-essential details, ensuring relevant points are prioritized. Adapt its responses based on subtle changes in tone or intent over extended interactions. This makes DeepSeek particularly appealing for users requiring in-depth discussions, such as educators, r...