The problem Market Mingle solves

1. Limited Market Visibility for Vendors: Many informal vendors struggle with limited visibility and exposure, making it challenging for them to reach a broader customer base and grow their businesses.

2. Inefficient Stall Location Selection: Vendors may struggle to find optimal locations for their stalls, impacting their sales. Existing methods may not consider real-time factors like weather and traffic.

3. Limited Access to Legal Information: Vendors may face challenges in understanding and complying with legal requirements, including obtaining e-licenses for their businesses.

4. Fragmented Vendor Community: Lack of a centralized platform makes it difficult for vendors to collaborate, share insights, and coordinate efforts, leading to missed opportunities for collective success.

5. Difficulty in Finding Vendors for Customers: Customers may face challenges in locating and discovering a diverse range of informal vendors in their vicinity, limiting their options for shopping.

Challenges we ran into

1. Real-Time Location Accuracy: Achieving precise real-time location sharing for vendor stalls was challenging, as it required overcoming technical hurdles and ensuring reliability in diverse geographical areas.

2. Machine Learning Model Optimization: Fine-tuning the machine learning model for weather forecasting and traffic analysis presented challenges in optimizing accuracy and adapting to dynamic conditions.

3. Legal Compliance Understanding: Ensuring vendors understood and complied with legal requirements for obtaining e-licenses presented challenges due to varying regulatory frameworks and complexities.

4. Dynamic Marketplace Algorithm Optimization: Developing and optimizing algorithms for a dynamic marketplace, especially in terms of suggesting optimal vendor stall locations, required constant adjustments based on user feedback and real-world testing.