PV Diagnostics
GROWTH
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
PV Diagnostics is born out of years of profound experience in the solar industry, with a foundation rooted in solar manufacturing and EPC. Recognizing significant gaps in the solar value chain, especially in the reliability of plant components during the industry's early stages, PV Diagnostics emerged with a mission to address these challenges. The company is committed to enhancing the performance of solar plants by providing comprehensive diagnostics and solutions informed by their deep insights and expertise gained over years of hands-on experience.
Scope Of Work
Our goal for the PV Diagnostics project was to create a robust and comprehensive solution for managing anomalies in solar plants, leveraging data visualization through charts and incorporating additional features to enhance diagnostics. Drawing on our expertise in the solar industry and understanding the critical gaps in the solar value chain, we aimed to develop a system that provides the client with real-time insights into the performance of solar plants.
Our Solution
Our solution for the PV Diagnostics project involved the following key services and technologies:
- Developed a robust system for effectively managing anomalies in solar plants.
- Implemented advanced charting mechanisms using React and Django to provide real-time insights into the performance of solar plants.
- Ensured an intuitive and user-friendly design to enhance the overall user experience and make data interpretation seamless.
- Created a robust admin dashboard for efficient monitoring and management.
- Developed a user-friendly dashboard for solar plant portfolio management.
- Conducted thorough testing to identify and resolve bugs and deployed the solution for real-world applications.
- Leveraged a powerful combination of technologies, including React for dynamic user interfaces, Django for backend development, and Django Admin for efficient administration.
- Additional Features for Enhanced Diagnostics:
- KPIs: Introduced Key Performance Indicators to measure and assess critical aspects of solar plant performance.
- Distributed Charts: Implemented distributed charts to visualize data across different parameters.
- Action Items: Provided actionable insights based on anomaly data to optimize plant performance.
- History Data: Enabled tracking and analysis of historical data for continuous improvement.
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