Crop Recommendation System College Using ML Project Site Development

⭐ Hi, My availability is immediate. I read your project post on React/Django/Python Developer to Crop Recommendation System College Using ML Project Site Development. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. - ML Toos: ChatGPT, Llama, Google Bard, OpenAI, Artificial Intelligence, - AWS SageMaker, AWS Bedrock, AWS Machine Learning Services, AWS AI Services - Azure Cognitive Services, Azure Bot Service, Azure QnA Maker, Azure Vision, Azure Document Intelligence, Azure OpenAI - Tableau, PowerBI - AI: Generative AI, Langchain, LLM, RAG - Artificial Intelligence, Machine Learning, Deep Learning, Chatbot Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

Dear Rohit M., I saw your project titled "Crop Recommendation System College Using ML Project Site Development" and I'm interested in submitting a proposal. With over 10 years of experience in software development, I have a proven track record and strong expertise in the required skillset, including JavaScript, React.js, Web Development. Here's a bit more about my skillset: Skills: JavaScript, Django, Machine Learning (ML), React.js, Web Development I'm confident I can deliver exceptional results for your project. Would you be open to discussing this further? Thank you for your time. Sincerely, A Mateen

Hello there, I already work on the similar project in this i recommend a crop based on parameters like 1. N - ratio of Nitrogen content in soil 2. P - ratio of Phosphorous content in soil 3. K - ratio of Potassium content in soil 4. temperature - temperature in degree Celsius 5. humidity - relative humidity in % 6. ph - ph value of the soil 7. rainfall - rainfall in mm And i got 90+ accuracy in this. I used machine model for training those data and finally i used stacking/ hard voting techniques to get high accuracy of models results. I will provide you below things: 1. Source code 2. Report 3 . Explanation in google meet ( if you want) Reply as soon as possible. Thank you.

I have prior experience completing tasks of a similar nature, and I am confident in my ability to deliver satisfactory results. Please provide further details, and I'll be happy to assist you

Hi there, I'm a full-stack developer with experience in web development (HTML/CSS/JS, Python/Django) and Machine Learning integration. I can bridge the gap between your ML model and web app! Here's my approach: 1- ML Model Integration: I'll seamlessly connect your Python ML model to the Django backend, ensuring predictions reach the web application. 2- Enhanced Frontend: I'll revamp the UI using modern frameworks (React is optional) to create an attractive and user-friendly interface for displaying crop recommendations. 3- Responsive Design: I'll prioritize a responsive design to ensure smooth user experience across devices and browsers. My skills and experience make me ideal to complete your educational project. Let's discuss how I can bring your crop recommendation system to life! Regards, Islam Amer

As an experienced and adept web developer with over 5 years of dynamic experience in the field, I strongly believe I am your ideal candidate to craft your crop recommendation system platform for your college project. Firstly, I am well-versed in the technologies you've listed, including proficiency in HTML/CSS/JavaScript and Python/Django, React, and APL Handling critical for seamless implementation of your ML code. Moreover, my portfolio is a testament to my breadth of skills as it showcases similar projects where I have successfully completed UI enhancements and implemented effective security protocols. This kind of experience has sharpened my ability to work independently while meeting strict deadlines, a skillset I believe essential for this academic project. In conclusion, my extensive expertise in all aspects of frontend and backend development combined with my commitment to producing high-quality work on time would make me an outstanding fit for your Crop Recommendation System College Using ML Project Site Development. Let's join hands together on this exciting venture and actualize your digital success story!

Yes I have read your project and understood requirements but have some doubts. please message me so we can discuss in detail. i am ready to start work

Experienced Python professional. AI & ML engineering . Created Most of prediction systems using Python libraries like Pytorch, Panda, matplotlib etc. feel free to contact me.

i am thrilled to express my keen interest in joining your team for the college project focused on developing a Crop Recommendation System using Machine Learning. With a robust background in web development, including proficiency in HTML/CSS/JavaScript, Python/Django, and React.js, coupled with my expertise in machine learning, I am confident in my ability to contribute significantly to the project's success. My experience aligns perfectly with the key responsibilities outlined, from implementing effective security protocols to enhancing the user interface for a seamless experience. I am passionate about leveraging technology for educational purposes and am excited about the opportunity to make a meaningful impact with your project. I am eager to bring my skills and enthusiasm to the team and contribute to creating an exceptional web platform that benefits farmers and advances agricultural practices. Warm regards,

Hello, I hope this finds you well. I'm Suranga from Xoftify, and we're keen on collaborating with you for your college project, the Crop Recommendation System using ML. At Xoftify, we excel in creating cutting-edge web platforms using HTML/CSS/JavaScript, Python/Django, React, and Machine Learning. Our team ensures seamless frontend-backend integration, implements React components, and upholds top-notch security standards. With a user-centric design approach, we guarantee intuitive platforms accessible across devices. Our project management emphasizes clear communication and efficient timelines. We understand your project's educational focus and are confident in addressing your ML integration and UI enhancement challenges. Let's discuss further! Best regards, Xoftify Team

Sure, here's a concise proposal: Dear Project Manager, I'm a web developer skilled in HTML/CSS/JavaScript, Python/Django, and React. I have experience in Machine Learning and APL Handling. I've worked on a similar project, "Intelligent Crop Analyser", which used AI and computer vision to aid farmers. It predicted suitable crops based on soil data, identified pests, diseases, and provided real-time monitoring of crop growth. I understand you need help connecting your ML code to display output and enhancing the UI. I assure you of my ability to deliver a user-friendly web application. I look forward to contributing to your project. Best, Abhin

As an experienced software developer specializing in web development, I am excited about the opportunity to contribute to your college project on Crop Recommendation System using ML. With a strong background in HTML/CSS/JavaScript and Spring boot and play, along with hands-on experience in React, Machine Learning, and APL Handling, I am well-equipped to handle the key responsibilities of this project.

Hello Sir , I am Software Developer . I read your post and understand requirements . I worked on similar kind of project previously. I think we need to use library like "PICKLE " to integrate ML model with Django. I am confident in my ability to deliver satisfactory results. Please provide further details, and I'll be happy to assist you