The problem CareerCrafter solves

Spike in Graduate Unemployment:
Graduates emerging from higher education institutions are encountering substantial challenges in securing employment opportunities.
The noticeable rise in the unemployment rate among recent graduates raises concerns about the effectiveness of existing pathways from academia to the workforce.
Promises vs. Reality:
Numerous post-graduate training programs make assurances of providing comprehensive training leading to employment, but the outcomes often fall short of these promises.
A disconnection between the commitments made by training programs and the actual employment outcomes experienced by graduates underscores a need for closer scrutiny and transparency in these programs.
Unclear Causes:
Despite the evident surge in graduate unemployment, the underlying causes of this phenomenon remain elusive and inadequately understood.
The lack of clarity on the root causes hampers the development of effective strategies and interventions. A comprehensive examination is required to uncover the multifaceted factors contributing to the high unemployment rates.
Systemic Gaps:
There are indications that the current education and training systems may have inherent gaps or deficiencies that potentially exacerbate the issue of graduate unemployment.
Systemic issues within educational and training structures, such as a mismatch between skills acquired and industry demands, regional imbalances, or inadequacies in career guidance, may be contributing to the persistently high levels of graduate unemployment. Addressing these systemic gaps is crucial for sustainable solutions.

Challenges we ran into

Issue: Machine Learning Model Interpretability:

Challenge: Interpreting and explaining machine learning models used for pattern recognition may be challenging, especially when dealing with complex models.
Mitigation: Employing interpretable machine learning algorithms, providing transparent documentation, and ensuring clear communication of model outputs.
Issue: Real-time Feedback Implementation:

Challenge: Providing real-time feedback during interviews or training programs necessitates seamless integration of technologies and may face technical constraints.
Mitigation: Rigorous testing of real-time feedback mechanisms, using scalable technologies, and ensuring user-friendly interfaces to minimize technical challenges.