You will get an ML enabled Solar Radiation Predictor!
Project details
You will get a deployed web application to predict solar irradiance value of an area. Solar irradiance is the power per unit area received from the Sun in the form of electromagnetic radiation as reported in the wavelength range of the measuring instrument. It is measured in watt per square meter (W/m2) in SI units. The key parameters taken into account for prediction are 'temperature', 'humidity', 'wind direction' & 'wind speed' values of that area.
The notebook has been very carefully curated, taking into account 7 ML models for comparison and detailed step-by-step exploratory analysis has been performed. The Flask app has been deployed on Heroku and you may try it out using link shown in the images.
The notebook has been very carefully curated, taking into account 7 ML models for comparison and detailed step-by-step exploratory analysis has been performed. The Flask app has been deployed on Heroku and you may try it out using link shown in the images.
What's included $35
These options are included with the project scope.
$35
- Delivery Time 2 days
- Number of Revisions 1
- Number of Model Variations 7
- Model Validation/Testing
- Source Code
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$10
Additional Revision
+$10About Manasi
AI & ML Researcher/Developer | Speech Processing | Explainable ML
Noida, India - 7:39 am local time
My work includes developing interpretable models for audio-based tasks, building voice-controlled systems, and deploying NLP tools tailored to specific domains. I’ve worked with technologies like Python, PyTorch, TensorFlow, ECAPA-TDNN, and ROS, and have experience with model deployment using Streamlit, Flask, and cloud platforms.
I’ve contributed to projects such as beat detection in music, real-time voice cloning, audio deepfake detection, and chatbot development. I also created data-driven solutions for industry use cases—such as trend prediction, smart reporting automation, and user behavior analysis.
With a strong academic background (ranked 1st in my bachelor's, multiple international publications), I deliver clean, research-backed solutions optimized for performance and clarity.
If you're looking for an adaptable, reliable developer who understands both the “how” and the “why” behind machine learning systems, let’s connect.
Steps for completing your project
After purchasing the project, send requirements so Manasi can start the project.
Delivery time starts when Manasi receives requirements from you.
Manasi works on your project following the steps below.
Revisions may occur after the delivery date.
Detailed Notebook Creation
Backend with Flask