BMI Calculator & Weight Check Privacy Policy

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October 26, 2026 in page

BMI Calculator & Weight Check Privacy Policy

Privacy Policy — BMI Calculator & Weight Check

Effective Date: October 26, 2026

App Name: BMI Calculator & Weight Check

1. Introduction

BMI Calculator & Weight Check (“we,” “our,” or “the App”) is a health and fitness application designed to help users calculate their Body Mass Index (BMI), Basal Metabolic Rate (BMR), Total Daily Energy Expenditure (TDEE), and monitor their weight and physical activity.

We respect your privacy and are committed to protecting your personal information. This Privacy Policy explains what information the App accesses, how it is used, and the choices available to you.

By using the App, you acknowledge this Privacy Policy.

2. Information We Collect and Access

Depending on the features you use and the permissions you grant, the App may access the following information:

A. Information You Provide

  • Age, height, weight, and other information you enter for BMI and fitness calculations.
  • Fitness-related preferences and information you voluntarily provide.

This information is used to calculate and display personalized health and fitness results.

B. Health Connect Data

With your explicit permission, the App may read the following health data from Android Health Connect:

  • Weight: To calculate BMI, BMR, and TDEE using your recorded weight.
  • Body Fat Percentage: To display body composition information and estimate fat mass where supported.
  • Heart Rate: To display recent heart rate measurements in the Heart Rate dashboard.

The App accesses only the health data needed for the features you choose to use. Health Connect permissions are optional, and you can deny or revoke them through your device settings.

The App does not access these health records through Health Connect without the required authorization.

READ_WEIGHT — Weight

Specific purpose, in-app feature, and benefit to the user:

Our app includes an Advanced BMI Calculator that calculates Body Mass Index (BMI), Basal Metabolic Rate (BMR), and Total Daily Energy Expenditure (TDEE). We request the READ_WEIGHT permission to allow users to import their latest weight measurements from Health Connect, including measurements recorded by compatible smart scales. This eliminates manual data entry, reduces input errors, and helps users calculate BMI, BMR, and TDEE using their recorded weight data. Weight data is accessed only to provide the relevant health and fitness features requested by the user.

READ_BODY_FAT — Body Fat

Specific purpose, in-app feature, and benefit to the user:

Our app’s Advanced BMI Calculator includes a body composition feature. We request the READ_BODY_FAT permission to allow users to import body fat percentage measurements stored in Health Connect, including measurements from compatible body composition scales. This helps users review their body fat percentage and, where supported by the available data, estimate fat mass without manually entering measurements. Access to body fat data supports personalized fitness tracking and body composition reporting.

READ_HEART_RATE — Heart Rate

Specific purpose, in-app feature, and benefit to the user:

Our app includes a dedicated Heart Rate dashboard that displays heart rate measurements available through Health Connect. We request the READ_HEART_RATE permission to retrieve the user’s recent heart rate records so they can review their cardiovascular activity alongside other health and fitness metrics, such as BMI and daily steps. This provides a convenient, centralized view of their recorded fitness data. Heart rate data is accessed only to support this feature and is displayed to the user within the app.

Description of permission usage:

Our application includes a Step Tracker feature that helps users monitor daily steps, estimate calories burned, and track walking activity. We request the android.permission.ACTIVITY_RECOGNITION permission to access step-counting functionality through supported Android activity-recognition APIs and hardware sensors, including Sensor.TYPE_STEP_COUNTER and Sensor.TYPE_STEP_DETECTOR, where available. This permission enables the app to track physical activity and display step-related fitness metrics. Step data is processed locally on the device for this feature, except where the user explicitly chooses to share or synchronize it through a supported feature.

C. Physical Activity Data

If you grant the required Android activity-recognition permission, the App may access step-counting functionality using supported device sensors or APIs.

Step data is used to display daily step counts, walking activity, estimated calories burned, and related fitness information.

3. How We Use Your Information

Information accessed or provided through the App may be used to:

  • Calculate BMI, BMR, and TDEE.
  • Display weight and body composition information.
  • Show recent heart rate measurements.
  • Track daily steps and estimate calories burned.
  • Provide fitness summaries and related app features.
  • Maintain and improve the functionality, security, and reliability of the App, where applicable.

BMI, BMR, TDEE, calorie expenditure, and body composition calculations are estimates and should not be considered medical diagnoses.

4. Health Data Privacy and Security

Health information is sensitive, and we handle it with care.

The App accesses Health Connect data only for the purposes described in this Privacy Policy and authorized by you. We apply appropriate safeguards to protect information handled by the App.

Health Connect permissions do not automatically authorize us to use your information for advertising, marketing, or unrelated purposes.

Data handling: Health information is processed locally on your device where supported by the App’s implementation. If any information is transmitted to a server, analytics provider, or other third party, that processing must be disclosed accurately in this policy and in the applicable Google Play Data safety declaration.

5. Data Sharing and Disclosure

We do not sell your personal health information.

Health information is not shared with third parties for their own advertising or marketing purposes. Information may be disclosed only where necessary to provide a feature you explicitly request, comply with applicable law, or protect the rights and security of users and the App.

If the App uses third-party services that receive personal or health information, their applicable data practices and the information shared must be disclosed to users.

6. Data Storage and Retention

Information entered or generated by the App may be stored locally on your device, depending on the features you use.

Data obtained through Health Connect is subject to the applicable permissions and the App’s implemented storage and processing practices.

You can stop future access to Health Connect data by revoking the relevant permissions in Health Connect settings.

You may be able to delete locally stored information by clearing the App’s data or uninstalling the App. Information previously exported, backed up, or stored by another service may require separate deletion.

7. Permissions

The App may request the following permissions when required by its features:

  • READ_WEIGHT: To read weight records from Health Connect.
  • READ_BODY_FAT: To read body fat percentage records from Health Connect.
  • READ_HEART_RATE: To read heart rate records from Health Connect.
  • ACTIVITY_RECOGNITION: To support step counting and physical activity tracking.

Permissions are requested to enable the corresponding features. You can deny or revoke permissions, although some features may not work without them.

8. Children’s Privacy

The App is not intended to collect personal information from children in violation of applicable laws. If you believe that a child has provided personal information inappropriately, please contact us so that we can review the matter.

9. Data Security

We use reasonable technical and organizational measures, appropriate to the App’s implementation, to protect information against unauthorized access, alteration, disclosure, or destruction.

However, no method of electronic storage or transmission can be guaranteed to be completely secure.

10. Your Privacy Choices

You can:

  • Deny optional permissions.
  • Revoke Health Connect permissions at any time.
  • Stop using health and fitness tracking features.
  • Delete locally stored App data where supported by your device and the App.
  • Contact us with questions or requests regarding your information.

Revoking a permission prevents future access through that permission but does not necessarily delete information already stored elsewhere.

11. Changes to This Privacy Policy

We may update this Privacy Policy when the App’s features, data practices, or legal requirements change. Updates will be published on this page with a revised effective date.

12. Contact Us

If you have questions or concerns about this Privacy Policy or the App’s privacy practices, contact us:

Developer: SOA Technology

Email: adityaypi@yahoo.com

Website: https://soatechnology.net/

By using BMI Calculator & Weight Check, you acknowledge that you have read this Privacy Policy.

October 11, 2026 in Advertisement

नवरात्रि के पावन अवसर पर जानिए माँ दुर्गा के 9 स्वरूपों (Navratri 9 Devis Names in Hindi) के बारे में

भारत में नवरात्रि का पर्व बड़े ही उत्साह, उल्लास और श्रद्धा के साथ मनाया जाता है। इन नौ दिनों में माँ शक्ति (दुर्गा जी) के अलग-अलग नौ स्वरूपों की विशेष पूजा-अर्चना की जाती है। धार्मिक मान्यताओं के अनुसार, माँ दुर्गा के इन नौ रूपों की आराधना करने से जीवन में सुख, शांति, समृद्धि और शक्ति की प्राप्ति होती है।

आइए, SOATechnology के इस विशेष ब्लॉग में जानते हैं नवरात्रि में पूजी जाने वाली माँ दुर्गा की 9 देवियों के नाम और उनके संक्षिप्त महत्व के बारे में:

1. माँ शैलपुत्री (Shailaputri) – प्रथम नवरात्रि

पर्वतराज हिमालय के घर पुत्री रूप में जन्म लेने के कारण इन्हें ‘शैलपुत्री’ कहा जाता है। ये नवदुर्गा में प्रथम देवी हैं। इनके दाहिने हाथ में त्रिशूल और बाएं हाथ में कमल सुशोभित है और इनका वाहन वृषभ (नंदी) है।

2. माँ ब्रह्मचारिणी (Brahmacharini) – द्वितीय नवरात्रि

‘ब्रह्म’ का अर्थ है तपस्या और ‘चारिणी’ यानी आचरण करने वाली। इस प्रकार ब्रह्मचारिणी का अर्थ हुआ तप का आचरण करने वाली। माँ का यह रूप शांत और मयूर स्वरूप ज्ञान व वैराग्य को दर्शाता है। इनके एक हाथ में जपमाला और दूसरे हाथ में कमंडल रहता है।

3. माँ चंद्रघंटा (Chandraghanta) – तृतीय नवरात्रि

माँ दुर्गा की तीसरी शक्ति का नाम चंद्रघंटा है। इनके मस्तक पर घंटे के आकार का अर्धचंद्र सुशोभित है, इसीलिए इन्हें चंद्रघंटा कहा जाता है। देवी का यह स्वरूप परम शांतिदायक और कल्याणकारी माना गया है।

4. माँ कूष्माण्डा (Kushmanda) – चतुर्थ नवरात्रि

अपनी मंद मुस्कान से ब्रह्मांड की रचना करने के कारण इन्हें आदि शक्ति कूष्माण्डा के रूप में जाना जाता है। इनकी आठ भुजाएं हैं, इसलिए इन्हें ‘अष्टभुजा देवी’ भी कहते हैं। इनके हाथों में कमंडल, धनुष, बाण, कमल, अमृत कलश, चक्र, गदा और जपमाला रहती है।

5. माँ स्कंदमाता (Skandamata) – पंचम नवरात्रि

भगवान कार्तिकेय (स्कंद) की माता होने के कारण माँ के इस पांचवें स्वरूप को ‘स्कंदमाता’ कहा जाता है। यह देवी अपनी गोद में भगवान स्कंद (बाल रूप में) को बिठाए हुए हैं। इनकी उपासना से भक्तों को ज्ञान, शक्ति और मोक्ष की प्राप्ति होती है।

6. माँ कात्यायनी (Katyayani) – षष्ठम नवरात्रि

महर्षि कात्यायन की कठिन तपस्या से प्रसन्न होकर माँ भगवती ने उनके यहाँ पुत्री रूप में जन्म लिया था, इसलिए इन्हें कात्यायनी कहा जाता है। ब्रज की गोपियों ने भगवान कृष्ण को पति रूप में पाने के लिए इन्हीं की पूजा की थी।

7. माँ कालरात्रि (Kaalratri) – सप्तम नवरात्रि

माँ दुर्गा का यह सातवां रूप बेहद भयंकर और शक्तिशाली है। इनका रंग अंधकार की तरह काला और बाल बिखरे हुए हैं। माँ कालरात्रि अपने भक्तों के लिए शुभ फलदायी हैं, इसीलिए इन्हें ‘शुभंकरी’ भी कहा जाता है। यह सभी प्रकार के भय और संकटों का नाश करती हैं।

8. माँ महागौरी (Mahagauri) – अष्टम नवरात्रि

माँ दुर्गा का आठवां रूप महागौरी है। इनका वर्ण पूर्णतः श्वेत (सफेद) है। भगवान शिव को पति रूप में पाने के लिए इन्होंने कठोर तपस्या की थी, जिससे इनका शरीर काला पड़ गया था, बाद में शिव जी ने गंगा जल से इनका अभिषेक कर इन्हें गौरवर्ण प्रदान किया।

9. माँ सिद्धिदात्री (Siddhidhatri) – नवम नवरात्रि

नवरात्रि का अंतिम दिन माँ सिद्धिदात्री को समर्पित है। जैसा कि नाम से स्पष्ट है, यह सभी प्रकार की सिद्धियों को देने वाली देवी हैं। ब्रह्मांड में सभी सिद्धियों को प्राप्त करने के लिए इनकी पूजा की जाती है। भगवान शिव ने भी इनकी कृपा से तमाम सिद्धियां हासिल की थीं।

निष्कर्ष:

नवरात्रि के ये नौ दिन आत्म-शुद्धि, सकारात्मक ऊर्जा और आंतरिक शक्ति को जागृत करने के होते हैं। SOATechnology की तरफ से आपको और आपके परिवार को नवरात्रि की हार्दिक शुभकामनाएं! माँ दुर्गा की कृपा आप सभी पर बनी रहे।

क्या आप इस नवरात्रि से जुड़ा कोई डिजिटल सॉल्यूशन या तकनीक से संबंधित अन्य आर्टिकल पढ़ना चाहते हैं? हमें कमेंट करके जरूर बताएं!

नवरात्रि के दौरान पूजी जाने वाली माँ दुर्गा की 9 देवियों (नवदुर्गा) के प्रमुख और प्रसिद्ध मंदिरों के पते (Addresses) निम्नलिखित हैं। इनमें से अधिकांश प्राचीन और मुख्य मंदिर वाराणसी (काशी, उत्तर प्रदेश) में स्थित हैं, जहाँ नवरात्रि के विशेष दर्शन का विधान है:

1. माँ शैलपुत्री (Shailaputri) – प्रथम नवरात्रि

  • मंदिर का पता: A-40/11, मरहिया घाट (Marhia Ghat), वाराणसी, उत्तर प्रदेश – 221001

2. माँ ब्रह्मचारिणी (Brahmacharini) – द्वितीय नवरात्रि

  • मंदिर का पता: बालाजी घाट / सप्तसागर (कर्णघंटा) क्षेत्र, वाराणसी, उत्तर प्रदेश – 221001

3. माँ चंद्रघंटा (Chandraghanta) – तृतीय नवरात्रि

  • मंदिर का पता: Ck. 23/34, चित्रघंटा गली (चॉक क्षेत्र के पास), वाराणसी, उत्तर प्रदेश – 221001

4. माँ कूष्माण्डा (Kushmanda) – चतुर्थ नवरात्रि

  • मंदिर का पता: दुर्गाकुंड मंदिर (श्री दुर्गा मंदिर), दुर्गाकुंड, भेलूपुर, वाराणसी, उत्तर प्रदेश – 221005

5. माँ स्कंदमाता (Skandamata) – पंचम नवरात्रि

  • मंदिर का पता: J 7/2, दिग्गिया रोड / जैतपुरा पुलिस स्टेशन के पास, जैतपुरा, वाराणसी, उत्तर प्रदेश – 221001

6. माँ कात्यायनी (Katyayani) – षष्ठम नवरात्रि

  • मुख्य मंदिर का पता: श्री आद्या कात्यायनी शक्तिपीठ मंदिर (छत्तरपुर मंदिर), मुख्य छत्तरपुर रोड, छत्तरपुर, नई दिल्ली, दिल्ली – 110074(इसके अलावा वाराणसी में भी इनका पावन स्थल है)

7. माँ कालरात्रि (Kaalratri) – सप्तम नवरात्रि

  • मंदिर का पता: D.8/17, कालिका गली (विश्वनाथ गली के पास), बंगाली टोला, वाराणसी, उत्तर प्रदेश – 221001

8. माँ महागौरी (Mahagauri) – अष्टम नवरात्रि

  • मंदिर का पता: D-9/1, अन्नपूर्णा मंदिर परिसर (काशी विश्वनाथ मंदिर के पास), लाहौरी टोला, वाराणसी, उत्तर प्रदेश – 221001

9. माँ सिद्धिदात्री (Siddhidhatri) – नवम नवरात्रि

  • मंदिर का पता: K.60/29, सिद्धमाता गली (काल भैरव मंदिर के पास), वाराणसी, उत्तर प्रदेश – 221001

October 8, 2026 in Billionaire

nana patekar wife son net worth and total movies count, dob and dod

  • Date of Birth (DOB): January 1, 1951
  • Date of Death (DOD): October 8, 2026 (aged 75)
  • Wife: Neelkanti Patekar (married 1978)
  • Son: Malhar Patekar (1 son)
  • Net Worth: Estimated between ₹50 crore and ₹80 crore ($6–$10 million USD)
  • Total Movies Count: Appeared in over 80+ feature films and television/regional projects across a career spanning nearly five decades (from his debut in Gaman [1989] to projects through 2026 like Subedaar). [1, 2, 3, 4, 5]

Nana Patekar passed away today, October 8, 2026, at his residence in Dona Paula, Goa, after suffering a suspected cardiac arrest. [1, 2]

Here are the requested biographical details about the legendary actor:

Personal Profile & Timeline

  • Date of Birth (DOB): 1 January 1951 (Born in Murud-Janjira, Maharashtra).
  • Date of Death (DOD): 8 October 2026 (Aged 75). [1, 2, 3]

Family

  • Wife: Neelkanti Patekar (Married in 1978).
  • Son: Malhar Patekar. (The couple also had a firstborn son who unfortunately passed away during infancy). [1, 2, 3]

Net Worth & Filmography

  • Net Worth: Estimated between ₹80 crore and ₹200 crore. Media reports indicate his wealth was heavily built on his decades-long career in Hindi and Marathi cinema, though he famously maintained a highly minimalist lifestyle and donated significantly to charity through his Naam Foundation. [1, 2, 3]
  • Total Movies Count: Over 90 movies. He accumulated 93 known acting credits spanning a career from his 1978 debut in Gaman up to his latest 2026 films like Subedaar and O’Romeo. [1, 2, 3]

October 5, 2026 in Learning

AI/ML Solution Architect / Lead Engineer profile

Core Architecture & Technical Leadership

  • Design and architect scalable AI/ML solutions based on business requirements:
    • Explanation: Translating high-level business goals (e.g., reducing churn, automating customer service) into end-to-end technical blueprints. This ensures models can handle growing data volumes and traffic without failing.
  • Provide technical solutioning, architecture, debugging, and performance optimization:
    • Explanation: Acting as the technical authority who designs the system blueprints, troubleshoots complex model or pipeline failures, and fine-tunes code, models, or infrastructure to run faster and cheaper.
  • Collaborate with technical and business stakeholders to define solution architecture:
    • Explanation: Bridging the gap between non-technical business leaders and technical teams. You gather requirements, explain technical trade-offs in plain language, and align the AI strategy with company goals.
  • Support RFI/RFP and solution proposal activities when required:
    • Explanation: Participating in the sales or bidding process. RFI (Request for Information) and RFP (Request for Proposal) involve pitching technical architectures, timelines, and cost estimates to prospective clients or internal management.

Core AI/ML & Data Science Expertise

  • Develop and implement AI/ML solutions using Python:
    • Explanation: Writing production-ready code in Python—the industry-standard language for data science and machine learning—to build, train, and deploy models.
  • Work with machine learning techniques including supervised/unsupervised learning, deep learning, NLP, and reinforcement learning:
    • Explanation: Applying different learning paradigms depending on the problem:
      • Supervised/Unsupervised: Predicting labels (e.g., fraud detection) vs. finding hidden patterns (e.g., customer segmentation).
      • Deep Learning: Using multi-layered neural networks for complex tasks like speech or image recognition.
      • NLP (Natural Language Processing): Enabling machines to understand, interpret, and generate human language (e.g., chatbots, sentiment analysis).
      • Reinforcement Learning: Training models via trial and error using rewards and penalties (e.g., robotics, game AI).
  • Perform data analysis, data mining, statistical analysis, data wrangling, and visualization:
    • Explanation: The foundational groundwork of AI: cleaning messy data (wrangling), uncovering hidden correlations (data mining), applying math/stats to validate hypotheses, and creating visual dashboards to present findings.
  • Work with large datasets and derive meaningful business insights:
    • Explanation: Handling “Big Data” environments to extract actionable intelligence that directly impacts revenue, operational efficiency, or product strategy.
  • Design and implement solutions using TensorFlow, Scikit-Learn, and PyTorch:
    • Explanation: Utilizing the top-tier machine learning frameworks: Scikit-Learn for traditional ML algorithms, and TensorFlow / PyTorch for deep learning and neural networks.
  • Apply Time Series Modelling and Computer Vision techniques where required:
    • Explanation:
      • Time Series: Forecasting future trends based on historical sequential data (e.g., stock prices, sales forecasting).
      • Computer Vision: Enabling computers to derive meaningful information from digital images or videos (e.g., facial recognition, object detection).

Engineering, MLOps, & Infrastructure

  • Work with Docker and Kubernetes for AI/ML deployment:
    • Explanation:
      • Docker: Packaging an AI model and all its dependencies into a standardized container so it runs reliably anywhere.
      • Kubernetes: Automating the deployment, scaling, and management of these containers in production environments.
  • Work with messaging technologies such as Kafka, RabbitMQ, ActiveMQ, or similar platforms:
    • Explanation: Building real-time, event-driven data pipelines. These tools allow different microservices and AI models to communicate and stream data asynchronously (e.g., streaming live transaction data into a fraud-detection model).
  • Work with RDBMS and NoSQL databases:
    • Explanation: Storing and querying structured data using relational databases (like PostgreSQL, MySQL) and unstructured/semi-structured data using non-relational databases (like MongoDB, Cassandra) required by modern AI applications.

Experience & Skill Summary

  • 10+ years of IT experience: A senior-level tenure demonstrating deep industry experience, mature engineering judgment, and a track record of delivering complex technical projects.
  • Strong Python / Strong AI/ML / Machine Learning and Deep Learning / NLP / Supervised & Unsupervised Learning: Mastery of core programming and theoretical concepts necessary to build intelligent systems from scratch.
  • TensorFlow / PyTorch / Scikit-Learn: Hands-on proficiency with the primary libraries used to build models.
  • AI/ML Solution Architecture: The overarching capability to design end-to-end enterprise AI systems.
  • Docker / Kubernetes: Essential MLOps skills for moving models out of a notebook and into scalable production environments.
  • RDBMS / NoSQL: Comprehensive data storage management skills.
  • Strong solutioning and debugging skills: The ability to quickly diagnose bottlenecks, fix broken production pipelines, and design robust architectures under pressure.
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