Project Description:
We are looking for a developer to help us with a project that involves collecting, storing, and analyzing real-time flight data from an ADS-B API. The task will be to integrate the data, process it, and display it on a dashboard. The project can be broken down into the following key requirements:
Obtain Data from an API:
Collect flight data from an ADS-B API in real-time. The API will provide live data of aircraft, including their positions, timestamps, altitude, and other relevant information. This integration should be flexible enough to allow future migration to a different data source or database. API will be provided. An example of API data is attached.
Store Data in a Database:
The collected data should be saved in a database (SQLite is preferable at this stage). The system should be designed so that in the future it could support a different database, such as MySQL or PostgreSQL, with minimal changes to the code.
Ensure data is stored in an organized manner, including fields such as flight number, coordinates (latitude, longitude), altitude, timestamp, and other relevant details.
Display Real-Time Flights:
Develop a feature to display flights in real-time on a web interface or a dashboard. The dashboard should show flight positions, flight number, and relevant data on a map (using tools like Leaflet, Google Maps, or similar).
Calculate Runway Occupation Times:
Calculate the runway occupation times based on key coordinates (e.g., starting point, threshold, runway exits). This includes determining the time it takes for a plane to take off from the waiting point to the threshold, and for a plane to free the runway after landing.
The system should automatically deduce which runway the aircraft is using (for takeoff or landing) based on the coordinates.
Dashboard for Airport Data:
Create a dashboard where the user can see relevant flight information by airport. The dashboard should include key metrics and insights like the number of takeoffs, landings, runway occupation times, and more.
Playback of Flight Data:
Implement a playback feature that allows the user to view past flights' data (historical playback). Users should be able to select a time range and visualize the flight movements during that period.
Playback of Specific Flight Operations:
Enable playback of specific flight operations (such as takeoff, landing, or a particular flight) by allowing users to select a specific operation. The system should display the relevant data for the chosen operation, including coordinates, timestamps, and status updates.
Deployment to AWS:
The system should be designed and developed in a way that it can be deployed on AWS (Amazon Web Services). This includes setting up any necessary components like EC2, RDS, and S3 for scalable data storage and hosting.
Documentation for setting up and deploying the project on AWS is essential.
Code Requirements:
The code should be clean, well-documented, and modular to ensure it is maintainable and easy to extend in the future.
Provide a complete codebase, including all functions for data collection, storage, processing, and display, as well as instructions for deployment.
Skills Required:
Experience with API integration (specifically ADS-B or flight tracking APIs).
Proficiency in Python for data collection and processing.
Knowledge of databases (preferably SQLite, with the potential to scale to other systems like MySQL, PostgreSQL).
Experience with web development (to display data on a dashboard, e.g., using Flask, Django, or similar).
Familiarity with geospatial data (for calculating distances and determining runways using coordinates).
Experience with creating interactive dashboards and visualizing real-time data.
Experience with cloud deployment (AWS, EC2, RDS, S3).
Additional Notes:
The system should be flexible enough to switch data sources in the future, for example from an API to a direct database connection.
The final solution should be scalable, with the ability to handle large amounts of data and provide real-time updates.
A good level of documentation is required, both for the code and for deployment on AWS.
Consideration for future features or integrations should be part of the design to ensure ease of expansion.
Hi, I can help u as i have done several similar jobs related to Python, Web Development, Amazon Web Services, Database Programming and Freelancer API, I have read the details and furthermore discuss about it, plz discuss with me in detail.
Regards
Hi,
I am a independent full stack developer and AWS devops. Worked mainly with (python/django/DRF (rest api)/flask + javascript/reactjs + RDMS/Nosql). Also I can handle the devops/server related tasks. Use docker containers. I am well versed with AWS/EC2/ECR/ECS/S3/lambdas. I am good at Linux os and bash scripting.
I am well versed with reactjs/hooks/forms/tables/mui
I am well versed in AWS lambdas/step/ecs/ecr/vpc/ec2 and deployed full stack webapps in aws.
Lets discuss more details.
With a core proficiency in Python, I bring to the table a solid understanding of data collection, storage, and processing - essential components in this project. For instance, my knowledge of databases like SQLite (as well as MySQL and PostgreSQL) will ensure that the flight data is stored in an organized manner, while being flexible enough for future changes. My hands-on experience with APIs, particularly those related to ADS-B or flight tracking, makes me confident that I can integrate the livestream flight data into the system effortlessly.
The impressive ability to cogently translate complex data sets into relatable and actionable information inspired me to specialize in web development. Using frameworks like Flask or Django, I'll craft an intuitive and interactive interface: a dashboard where users can easily access relevant flight metrics specific to each airport. To enable historical as well as real-time playback of flight data, my familiarity with leveraging geospatial data coupled with fluency in interactive visualization will efficiently come into play.
As a highly experienced Data Scientist and Python programmer, I believe I'm the perfect fit for your Real-Time Flight Data Analysis & Dashboard project. My proficiency in Python means I am well-versed in API integration, data collection, processing, as well as organizing datasets. Additionally, I have a deep understanding of databases and their manipulation, which is essential for storing your real-time flight data in an organized manner.
Moreover, my expertise in geospatial data analytics allows me to tackle challenges related to calculating distances and determining runways using coordinates. This will prove fundamental to accurately calculating runway occupation times based on key coordinates, as stipulated in your project requirements. In terms of deployment, my extensive knowledge of AWS will ensure the project is efficiently and effectively hosted on the platform.
Lastly, my experience in creating interactive dashboards for real-time data visualization further supports why I am the right choice for this task. Through tools like Flask or Django, I can build a captivating web interface/dashboard that displays your flight data seamlessly on maps (Google Maps or Leaflet). For analyze able market of you route prediction of goods.
⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Real-Time Flight Data Analysis & Dashboard.
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
Please send a message So we can quickly discuss your project and proceed further.
I am looking forward to hearing from you.
Thanks
With 9+ years of professional expertise in GIS, Web Development, and Database Management, I believe I am uniquely qualified for this high-pressure project. My proficiency in spatial data analysis using ArcGIS and QGIS and extensive experience with Python for data processing will be valuable in collecting, organizing, and analyzing real-time flight data from ADS-B API. Additionally, my knowledge of databases like SQLite, engines like MySQL and PostgreSQL ensures that I can integrate the collected data seamlessly with flexibility for future migrations. In combination with my web development skills utilizing Flask and Django frameworks and fluency with geospatial data handling to determine runways based on coordinates, I can adeptly design an interactive dashboard that displays flights on a map with detailed information not only limited to runway occupancy but also including flight numbers and other advanced metrics.
What sets me apart is my industry experience in scaling up geospatial projects on cloud platforms like AWS.
I'm confident that my expertice as a GIS Specialist,Urban planning & Infrastrucuter analyst & Full-stack developer combined with the accomplishments like designing intelligent 3D models for urban planning & infrastructure,to tools from PostgreSQL/PostGIS powered by database management will greatly assist me in putting together exactly what you're envisioning.
Drawing on my rich and diverse skillset, I am Anant, an AWS Cloud and DevOps specialist with over 9 years of industry experience. I have a strong background in API integration, which will be valuable in integrating the ADS-B API for real-time flight data collection. Equally, my proficiency in Python for data processing and my extensive knowledge of databases, including SQLite and MySQL, make me an ideal fit for this project.
Furthermore, my familiarity with geospatial data and interactive dashboard creation is crucial to visualizing real-time flights on a web interface or a dashboard. As the project requires calculating runway occupation times based on coordinates, I can leverage my expertise to ensure precise measurements and calculations. Also, your requirement of deploying the solution on AWS aligns well with my skills as I've built cloud infrastructures from scratch, managed multi-account AWS environments using Terraform, and implemented IaC with Terraform.
With a strong background in API integrations and database management, I'm confident that I can successfully execute your project of real-time flight data analysis and dashboard creation. My proficiency in Python aligns perfectly with your requirement for data collection, processing, and storage. In addition, I have hands-on experience with different databases ranging from SQLite to MySQL and PostgreSQL which gives me the flexibility needed for your project. My clean coding style is well-documented and highly maintainable which makes future migration to different data sources or databases a seamless process.
Creating interactive dashboards and visualizing real-time data is another strength that I bring to the table. Utilizing my web development skills (specifically using Flask or Django), I can provide you with a user-friendly dashboard that creatively displays flight positions, runway occupation times, relevant metrics insights for specific airports, and much more.
Furthermore, my familiarity with geospatial data computations will enable me to accurately calculate runway occupation times based on key coordinates utilizing Leaflet, Google Maps or similar tools. Covering all bases, I also have experience deploying projects on cloud services like AWS including EC2, RDS, displaying an understanding of the AWS architecture. Providing you with detailed documentation for setting up and deploying the project on AWS will be part of my deliverables.
As the lead of an AI-focused software development company, I firmly believe my team and I are the perfect fit for your Real-Time Flight Data Analysis project. Over the years, we've garnered extensive experience in successfully integrating data from various sources, including APIs similar to what you require for this project. In specific relation to the aviation industry, we've worked with flight tracking APIs, making us familiar with ADS-B data collection and storage.
Our proficiency in Python will come in handy for clean data collection and processing while our knowledge of databases (including SQLite) will guarantee a well-organized storage structure that can accommodate future changes to more efficient systems like MySQL or PostgreSQL if there's a need. Apart from efficiently visualizing real-time data on interactive dashboards, we also excel at complex geospatial calculations which are essential in determining runway occupations times as you require.
The ability to deploy scalable solutions on AWS is one of our core competencies, which makes us a perfect match for your AWS deployment requirement. On numerous occasions in the past, we have effectively leveraged AWS components such as EC2, RDS, and S3 to ensure reliable and scalable data storage and hosting. Our commitment to clean and modular code ensures our solutions are maintainable and easy to extend - a crucial trait for any long-term project like yours.
With a proven track record in Amazon Web Services and Python, we at Iterative Tech can deliver the real-time flight data analysis and dashboard project you need. Having successfully integrated numerous APIs, including those comparable to the ADS-B API, our team will ensure seamless data collection and storage for you. We not only have vast experience with database management, including SQLite which you prefer, but also have the flexibility to accommodate any future shift to alternative databases with minimal code changes. Quality is never compromised in our work as seen in our meticulousness in organizing data fields for efficient analysis.
Another distinguished skill we bring to the table is our expertise in web development using frameworks like Flask and Django. This proficiency will be vital in creating an insightful and interactive dashboard able to tangibly exhibit flight positions, runway usage statistics based on well-calculated occupation times among other key metrics. And on that note, knowing how important historical records are, we have prior experience implementing playback features into the system that allow users to visualize past flights' movements or even specific operations.
Thanks
Prem Golani
IterativeTech Research Pvt Ltd
Hello,
Having worked extensively with Python and APIs, I am well-equipped to tackle the task of collecting, processing, and displaying real-time flight data for you. My comprehensive experience with different databases ensures that your collected data will be stored efficiently, and my proficiency in web development guarantees a user-friendly interface for efficient use of your dashboard.
Additionally, my familiarity with geospatial data comes in handy when it comes to calculating distances and determining runways. This means I can easily implement runway occupation time calculations into the system without any hassle. Moreover, I possess deep knowledge in cloud deployment especially AWS which would be critical to the success of this project.
Finally, I assure you that along with delivering refined and well-documented code, my commitment does not end there. I strongly believe in robust after-sales services and am always willing to support you even after the project is completed. Hence, if you’re looking for a passionate and skilled individual who can ensure a succcessful implementation of real-time flight data analysis & dashboards into your existing network, I'm the perfect candidate for the job!
Thanks!
Hi Nicolas B.,
I just came across your job post and noticed you're looking for someone skilled in Python, Web Development, Amazon Web Services, Freelancer API and Database Programming. This is exactly what I specialize in! I’d love to learn more about your project and see how I can help.
A few things to clarify:
Are these all the project requirements, or do you have additional details?
Is there any existing progress, or will we start from scratch?
What’s your preferred timeline for completion?
Why Choose Me?
✅ 150+ successfully completed projects
✅ Zero negative feedback in the last 5 years
✅ Consistently rated 5 stars on major projects
I’m available from 9 AM - 9 PM Eastern Time as a full-time freelancer. Let’s connect in a private chat, and I’ll share relevant work samples. Looking forward to working with you!
Best,
Muhammad
With my diverse set of skills and extensive experience in web development, I am the perfect fit for your Real-Time Flight Data Analysis & Dashboard project. Over the years, I have excelled in API integrations and have deep knowledge of ADS-B or flight tracking APIs like the one you require. Proficient in Python, I can efficiently collect and process vast amounts of data while ensuring its secure storage using databases like SQLite.
Moreover, my expertise in web development will enable me to develop an interactive dashboard that allows real-time visualization of flight positions and relevant details on maps. Calculating runway occupation times based on key coordinates is one of my specialties, which will be vital for your needs. I am also well-versed with plotting historical flight data and enabling playback of specific operations in a user-friendly manner.
My familiarity with cloud deployment (AWS, EC2, RDS, S3) makes me a suitable candidate for this project. I can design and develop the system so that it can be easily scalable on AWS while always being mindful of clean and well-documented code to ensure future maintainability. Given an opportunity, you can expect a comprehensive codebase with complete instructions for successful deployment on AWS from me.
I am writing to express my interest-
The system will include:
Real-time data collection from the ADS-B API, with flexibility for future data source migration.
Database storage (initially SQLite, with scalability options for MySQL/PostgreSQL).
Interactive dashboard displaying live flight positions on a map with relevant metrics.
Runway occupation time calculations based on key coordinates.
Historical playback feature for visualizing past flight operations.
AWS deployment with clear documentation for setup and maintenance.
I prioritize clean, modular code with thorough documentation, ensuring the system is easy to maintain and extend. Let’s discuss how I can help build this robust and scalable solution.
THANKS
MEGHA
Hi,
I’ve gone through your project details, and I understand exactly what you need. I can help collect, store, and analyze real-time flight data from the ADS-B API, ensuring smooth integration and future scalability. I can also build a real-time dashboard, implement playback features, and deploy the system on AWS.
Hi!
I’m confident I can assist with your project involving real-time flight data collection, storage, and display. With extensive experience in API integration (specifically ADS-B), Python for data processing, and database management (SQLite to scale to MySQL/PostgreSQL), I’m well-equipped to meet your requirements.
I have hands-on experience in developing interactive dashboards using Flask/Django and visualizing real-time data with Leaflet/Google Maps. I’m also proficient in deploying projects on AWS (EC2, RDS, S3), ensuring scalability and future-proof solutions.
Let’s discuss how I can help you build a robust and scalable flight tracking system.
Best regards,
Hi! I'm Sagar, a Full Stack Developer with 7+ years of experience in web/mobile development, specializing in backend integrations, real-time data processing, and cloud deployment. I’d love to assist you with your project to collect, store, and analyze real-time flight data from an ADS-B API. ✅ Key Expertise & Experience:
✔️ API Integration: I have experience with ADS-B and similar flight tracking APIs. I can easily adapt to new data sources.
✔️ Database Expertise: Proficient in designing scalable systems with SQLite and migrating to MySQL/PostgreSQL.
✔️ Data Visualization: Expertise in building interactive dashboards using Leaflet/Google Maps for real-time data visualization.
✔️ Cloud Deployment: Hands-on experience with AWS (EC2, RDS, S3), ensuring scalability and reliability.
✅ How I Will Help:
✔️ Data Collection & Storage: Integrate the ADS-B API, store flight data in a structured SQLite database, and enable easy future migrations.
✔️ Dashboard Development: Create a real-time dashboard to display flight data like positions, flight numbers, and runway times.
✔️ Runway Occupation & Playback: Implement runway occupation time calculation and allow users to playback past flights or specific operations.
✔️ AWS Deployment: Ensure smooth AWS deployment with comprehensive documentation for setup.
I’m confident in delivering a flexible, scalable solution. Let’s discuss how I can bring this to life!
Hola, ¿cómo estás?
Soy Federico, tengo experiencia en datos, llevando a cabo procesos de ETL y Web Scraping, tengo experiencia en el entorno de AWS y Google Cloud Platform.
Si te parce bien, podemos tener una charla para conocernos.
Gracias.
I understand the need for insightful and real-time data analysis in your airport operations. With my expertise in Python and Web Development, I am confident in offering the necessary technical solutions whilst also prioritizing scalability and maintainability. Specifically, I have solid experience in API integration as well as in handling geospatial data for distance calculations and runway determinations, which are crucial aspects of your project.
Furthermore, my familiarity with databases like SQLite, MySQL, and PostgreSQL ensures I can store the collected flight data efficiently now and introduce seamless transitions to other databases should you require it in the future. Additionally, my proficiency in making interactive dashboards incorporating real-time data visualization can aid airport administrators to make quick decisions through your project.
Moreover, my familiarity with AWS will ensure a successful deployment while my commitment to providing clear documentation guarantees ease of use and future flexibility. Partnering with me gives you not only a dedicated professional, but also an effective communicator who values timely delivery without compromising quality. Let me unleash the full potential of your real-time flight data for increased operational efficiencies.
