We, as Team CodeCrusadecrs, are concentrating on the pothole issue.
We had a number of difficulties while working on this project that put our abilities to the test. The following list of challenges we encountered and how we overcome them:
Model Training: One of the main difficulties we ran into was getting the machine learning model for pothole identification to work properly. It took us a long time and a lot of work to grasp the ideas and methods needed for model training because we were not initially skilled in machine learning.
Mid-Evaluation Feedback: The judges gave insightful input at the mid-evaluation, recommending that we concentrate on integrating webhooks as a means of advancement. It was difficult to incorporate this functionality because it meant rearranging several of our project's components. Nonetheless, we allocated more resources because we understood how important this input was.
Brainstorming on Implementation Strategies: In the global landscape, various companies, such as MapMyIndia. Therefore, the pressing question arises: how can we effectively integrate our solution into everyday life to ensure maximum utilization? After thorough consideration, we have reached the conclusion that reaching out to a company like MapMyIndia would be the most viable option. Given its extensive reach and influence, collaborating with MapMyIndia could facilitate widespread adoption, benefiting communities across India.
We're happy with our development and the solutions we've put in place despite these obstacles. Every challenge offered a chance for us to think and improve regardless of whatever the result be we are happy with our effort!
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