Build my lightning prediction, weather prediction + LoRa emergency platform with ESP32 harwdare

@Ussama91

I will handle stage 1 by developing a DNN model for classification using Python with TensorFlow or PyTorch, deploying it via REST API, and integrating it with cloud hosting and database management for $100. For stage 2, I will develop the firmware for ESP8266/ESP32, set up LoRa communication, and create an Android app with GPS and map integration for $100, with deployment, testing, and documentation for $50, adapting to the $250 budget. Waiting for your response in chat! Best Regards.

@phpxpert89

Hello Mohammad Sharique A., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on JavaScript, Python, 3D Rendering, Node.js, SQLite, Raspberry Pi, Web Development, Backend Development, LoRa We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@sonika1419

**DO NOT PAY ME UNTIL I COMPLETE! :)** Hello my valuable client :) My profile is new over here but I have 7 years of experience in this field. I have completely understood about your project. Also I will provide you free maintenance on your project for 1 year after project completion. I can definitely complete this in your timeframe. Give me one chance to prove myself. Hit the chat button to get started. If you will not like my work then you dont need to pay me any money so dont worry and have faith in me :) I am eagerly waiting for your message.

@josec298

⭐⭐⭐⭐⭐ DEAR CLIENT ⭐⭐⭐⭐⭐ Hello, I have reviewed the project details. I have extensive experience in this field. My name is Jose, IoT/ML engineer who can deliver your lightning/weather prediction + LoRa emergency platform in 2 stages for ₹20,000 total (~250 USD). STAGE 1 (₹8,000 / 100 USD, 7 days): DNN model (PyTorch/TensorFlow + SMOTE for imbalanced data) trained on new dataset, REST API (FastAPI), Azure/AWS deploy, SMS/push backend. STAGE 2 (₹8,000 / 100 USD, 10 days): ESP32 + SX1278 LoRa 433MHz firmware (mesh, sensors), Android app (GPS/maps, offline mode, API sync). Deployment/Docs (₹4,000 / 50 USD, 3 days): Full testing + handover.

@jagratip3

Hello, With 10+ years of experience in AI systems, cloud backends, and embedded IoT development, I can handle both Stage 1 and Stage 2 of your project end-to-end. I’m ready to start immediately and work within your $250 structured milestone plan. STAGE 1 – ML + Cloud (Backend Intelligence) • Build a new DNN training dataset with proper preprocessing and imbalance handling (SMOTE). • Develop classification model in TensorFlow/PyTorch. • Optimize for weather/time-series inputs. • Deploy via secure REST API (FastAPI/Flask). • Cloud deployment on AWS/Azure with logging, DB integration. • SMS gateway + push notification backend integration. Deliverable: Live deployed ML model with stable API endpoint. STAGE 2 – Embedded + App + LoRa • ESP8266/ESP32 firmware development. • SX1278 LoRa 433MHz communication setup (mesh capable). • Sensor data acquisition + secure transmission to cloud. • Android app with GPS + map integration. • API connectivity + offline fallback logic. Deliverable: Fully functional LoRa device communicating with server & mobile app. I focus on clean architecture, documentation, and production-ready deployment. Let’s build this efficiently and professionally. Ready to begin today.

@lalitdeveloper7

Hi I can handle both stages of your project, covering DNN model development with imbalanced dataset handling (including SMOTE), REST API deployment on cloud (AWS/Azure), secure backend with logging, and SMS/push integration, followed by ESP8266/ESP32 firmware development, SX1278 LoRa communication setup, sensor integration, and Android app connectivity with API and GPS support. The final delivery will include a deployed ML backend and a fully working LoRa-to-app communication system with documentation and testing. Please let me know further. Thanks

@robertw0802

Hi there, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, highlighting my top strengths in AI integration, cloud architecture, and full-stack development. I have extensive experience in developing machine learning models, such as deploying a multi-tenant SaaS chatbot platform integrating RAG, LangChain, and ASP.NET Core. My strong technical background in TensorFlow and REST API ensures that I can create the new DNN training dataset and deliver a robust backend system for your lightning and weather prediction platform. My focus on clean architecture, structured documentation, CI/CD automation, and OWASP-based security practices will guarantee a secure and maintainable solution. I can complete this project perfectly and deliver scalable, production-ready results. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. Could you clarify more about the specific features you envision for the UI?

@jagjeetsinghram8

Hi, I’m Jagjeet with 10+ years of experience in full-stack, AI/ML, and embedded-integrated systems. I can execute your 2-stage intelligent + device communication project end-to-end — from DNN model training and cloud API deployment to LoRa device communication and mobile app integration. I’ll keep the system secure, scalable, and production-ready with clear documentation and smooth deployment. Stage 1 — Cloud, Data & Intelligence • DNN model for classification (imbalanced data + SMOTE) • Python (TensorFlow/PyTorch) with REST API deployment • Time-series & weather dataset handling • Secure cloud hosting (AWS/Azure), DB & logging • SMS + push notification backend Stage 2 — Device, LoRa & Mobile • ESP8266/ESP32 firmware + SX1278 LoRa communication • Sensor → MCU → Server pipeline • Android app with GPS, map & API integration • Offline communication architecture Final Delivery • Fully deployed system (Cloud + ML + API + LoRa + App) • Testing, optimization & documentation • Clean, maintainable, scalable code I can start immediately and deliver both stages professionally within your budget and structure. Best regards, Jagjeet Singh.

@DigitalNightOwl8

Hi , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in JavaScript, 3D Rendering, Backend Development, Web Development, Python, Node.js, LoRa, SQLite and Raspberry Pi. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Hope to hear from you soon

@InterconnectBPO

Hello, I can execute your project in two stages using your source code and API dataset, while creating a new DNN training dataset with a simple UI. Stage 1 – Backend & AI ($100): Develop Deep Neural Networks for classification (imbalanced datasets, SMOTE preferred) in Python (TensorFlow/PyTorch). Deploy model via REST API on Azure/AWS with database management. Handle weather/time-series datasets, integrate SMS gateway and push notifications, and ensure secure API with logging. Deliverable: Deployed ML model with working backend/API. Stage 2 – Embedded & Mobile ($100): Firmware for ESP8266/ESP32 with SX1278 LoRa 433 MHz mesh setup. Sensor integration (analog/digital), Android app with GPS/map, and server API integration. Offline communication support between devices and server. Deliverable: Functional LoRa module connected to mobile app and server. Deployment, Testing & Documentation ($50): Full system deployment, testing, and comprehensive documentation. Total Cost: $250. I can deliver a professional, end-to-end solution combining AI, cloud, IoT, and mobile integration efficiently. Regards, Jean-Pierre Full Stack Developer

@WiredAI

I can take ownership of this project end to end across both stages. I have hands-on experience with DNN model training and deployment, cloud backends, and IoT systems involving ESP32/LoRa and mobile apps. Stage 1: I’ll prepare a new training dataset, handle class imbalance using SMOTE, train and validate a DNN model (TensorFlow/PyTorch), and deploy it as a secure REST API on AWS/Azure. I’ve worked with weather and time-series data, logging, notifications, and production-ready APIs. Stage 2: I’ve built ESP8266/ESP32 firmware with SX1278 LoRa (433 MHz), sensor integration, and device-to-cloud communication. I can also develop an Android app with GPS/map features, API integration, and offline-first communication. I’ll deliver in clear milestones with testing, deployment, and documentation. The proposed budget and stage split work for me, and I’m ready to start immediately.

@fizaa170

For Stage 1 I will build and deploy a clean DNN pipeline using TensorFlow or PyTorch with proper handling of imbalanced data using SMOTE, expose the trained model through a secure REST API, and configure cloud hosting with logging, database, and notification integration. For Stage 2 I will handle ESP8266 or ESP32 firmware with SX1278 LoRa communication, sensor integration, and connect it to an Android app with GPS and server API sync, ensuring reliable offline capable architecture from device to cloud. Muzammil

@Hemantt841

With 7 years of experience in the field, I am the best fit to complete this lightning prediction, weather prediction, and LoRa emergency platform project. I have the relevant skills to handle both stages of the project efficiently. How I will complete this project: - For Stage 1, as a Backend Engineer, I will utilize Deep Neural Networks for classification using Python with TensorFlow/PyTorch. I will handle imbalanced datasets and prefer SMOTE for data balancing. Cloud hosting on Azure/AWS, API development, SMS gateway integration, and push notification backend will also be part of my responsibilities. I will deliver a deployed ML model with a working API endpoint and backend system. - For Stage 2, as an Embedded & Mobile Systems Engineer, I will work on ESP8266/ESP32 firmware development, SX1278 LoRa 433 MHz communication, sensor integration, Android app development with GPS and map integration, and API integration between the app and server. I will design an offline communication architecture for seamless operation. Tech stack I will use: - Python (TensorFlow/PyTorch) - Azure/AWS - ESP8266/ESP32 - SX1278 LoRa 433 MHz - Android app development I have worked on similar solutions in the past and can ensure the successful completion of this project within the specified budget and timeline. My commitment to quality and efficiency makes me the perfect candidate for this project.

@iconicdev4

How about creating a robust lightning prediction and emergency platform that seamlessly integrates your hardware and software requirements? I can help with developing a Deep Neural Network that utilizes your existing API dataset, ensuring we generate an effective training dataset for reliable predictions. For the cloud and data handling in Stage 1, I’ll leverage Python with TensorFlow or PyTorch, ensuring smooth model deployment via REST API. In Stage 2, I will focus on the ESP32 firmware development and LoRa communication, ensuring efficient sensor integration and offline capabilities. My strength as a backend engineer combined with my experience in embedded systems will assure a smooth workflow. I have previously delivered similar projects and have expertise in cloud hosting (Azure/AWS) and mobile app integration. Let’s make this platform a reality!

@ayushmaanksahu4

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Ayushman s

@tamannarajput18

As a Full Stack Developer with a strong focus on Backend Development and AI, I'm well-versed in the specific technologies needed for both stages of your project. For Stage 1, my experience with Python (TensorFlow/PyTorch) aligns perfectly with your DNN training dataset requirements. Additionally, my competence in handling imbalanced datasets (preferably with SMOTE), incorporating weather/time-series datasets, and deploying ML models via REST API would provide you with an exceptionally accurate and efficient lightning and weather prediction system that scales securely on major cloud platforms like Azure or AWS. Moving on to Stage 2, I hold extensive expertise in mobile app development across Android and iOS platforms along with proficiency in hardware systems like ESP8266/ESP32 (NodeMCU). Speaking specifically about the LoRa integration you require I've worked with SX1278 frequencies and its mesh implementation in the past. Moreover, given the importance of communication during emergencies, my experience includes both SMS gateway integration, push notification backend systems, as well as android app development with GPS capabilities for exemplary location tracking and mapping functions.

@QuickMentor

Build my lightning prediction, weather prediction + LoRa emergency platform” I'm excited after reviewing your project details! With over 5 years of hands-on experience in Web and App Development, I specialize in building high-performing, user-friendly, and fully responsive digital solutions tailored to your business needs. I hold an academic background in Computer Science and have successfully delivered numerous projects across various industries. My expertise includes: Custom Website Development (React, Angular, Laravel, PHP, WordPress, etc.) Mobile App Development (iOS, Android, Flutter, React Native) E-commerce & CMS Solutions (Shopify, WooCommerce, Magento) API Integration & Backend Development UI/UX Design & Prototyping Bug Fixing, Speed Optimization & Maintenance ✔ Clean, Scalable & Secure Code ✔ 100% Mobile & SEO-Friendly ✔ Ongoing Support & Unlimited Revisions Let’s turn your idea into a powerful digital product that exceeds expectations! Check my profile: https://www.freelancer.com/u/QuickMentor Looking forward to working with you!

@keaganmini

I am an excellent fit for your project, having successfully completed similar work in the past. Your need for a clean, professional, and user-friendly solution with seamless integration of DNN training datasets and cloud backend is clear. The emphasis on automated intelligence and secure API development resonates with my expertise. I specialize in Python, TensorFlow, REST API deployment, and cloud hosting on Azure/AWS. I am adept at handling imbalanced datasets using SMOTE and creating scalable backend systems. Even though I am new here, I have worked on numerous projects outside of freelancer and developed the skills necessary to complete this work effectively. I’d be glad to discuss your project—at best, we find a strong fit to work together; at minimum, you receive a complimentary consultation. Regards, Keagan

@Texxi

Hello. I fully understand this is a two stage system combining cloud based DNN intelligence with LoRa device communication and a simple mobile app. I can deliver Stage 1 using Python, TensorFlow or PyTorch, SMOTE for imbalanced data, REST APIs, cloud deployment, and secure logging. I have hands on experience with ESP32, SX1278 LoRa, Android apps with GPS, and reliable server device communication. I will complete both stages within the defined budget and scope with proper testing and documentation, and I look forward to working with you.