Inspiration
Our journey with SMEasy began with a heart-wrenching realization close to home. Urav, one of our team members, shared a flat with Rafael, a hard-working small business owner who ran a local vegetable shop. Despite Rafael's dedication and the essential service he provided to the community, he constantly struggled with cash flow issues.
One evening, Urav returned home to find Rafael slumped over his kitchen table, surrounded by bills and loan rejection letters. Rafael had been trying to secure a small loan to restock his shop and expand his cooler space, but traditional banks kept turning him down due to lack of collateral and his relatively short business history.
"I don't know what to do, mate," Rafael confessed, his voice breaking. "I might have to close shop if I can't get this loan. All these years of work... gone."
This moment struck a chord with Urav and the entire team. We realized that Rafael's story wasn't unique - it was the reality for countless SMEs across Australia. These businesses, which make up 98% of all enterprises in the country, were being left behind by traditional financial systems.
Inspired by Rafael's struggle and determined to make a difference, we set out to create SMEasy. We envisioned a system that would understand the unique needs of small businesses, assess their creditworthiness based on their actual performance, and provide them with the financial support they desperately needed.
Rafael's story became our driving force, reminding us every day of the real people and livelihoods at stake. With SMEasy, we're not just building a fintech solution; we're throwing a lifeline to the Rafaels of Australia, ensuring that determination and hard work don't go unrewarded due to outdated credit systems.
What it does
SMEasy is an innovative payment gateway that doubles as a credit facilitation system. It:
- Analyzes sales trends of SMEs
- Offers instant loans based on business performance
- Automates loan repayments through a small percentage of each transaction
How we built it
We developed SMEasy by:
- Creating a robust backend system
- Designing an intuitive and beautiful user interface
- Integrating an intelligent machine learning model for trend analysis and credit decisions
- Implementing secure payment gateway functionality
Challenges we ran into
Our journey in developing SMEasy was not without its hurdles. We faced several significant challenges:
Knowledge gaps: As a diverse team with varying backgrounds, we encountered areas where our collective expertise fell short. This required rapid learning and adaptation to new concepts and technologies.
Training our model: Developing a reasonably accurate machine learning model for credit assessment proved to be a complex task. We faced difficulties in:
- Acquiring sufficient, relevant data to train the model
- Balancing the model's sensitivity to avoid both false positives and false negatives
- Ensuring the model could adapt to various business types and sizes within the SME sector
Lack of frontend knowledge: Our team's strength initially lay in backend development and data science. However, creating an intuitive and user-friendly interface was crucial for our project. We struggled with:
- Learning new frontend technologies and frameworks
- Designing an interface that could simplify complex financial processes
- Ensuring the frontend could effectively communicate with our robust backend
Integrating payment gateway functionality: Incorporating a secure and efficient payment system that could also facilitate our unique loan repayment model presented unforeseen technical challenges.
Despite these obstacles, each challenge became a learning opportunity, pushing us to expand our skills and think creatively. Overcoming these hurdles not only improved our product but also strengthened our team's problem-solving abilities.
Accomplishments that we're proud of
Our key accomplishments include:
- Developing a seamless integration of payment and credit systems
- Creating an AI-driven credit assessment model
- Designing a user-friendly interface that simplifies complex financial processes
What we learned
Our journey in developing SMEasy was incredibly educational, providing us with valuable insights and skills:
The importance of frontend development: We quickly realized that frontend development is challenging and should not be taken lightly. The design language and user interface are what end-users directly interact with, making them crucial for the success of any application. This experience taught us to allocate more resources and attention to frontend development in future projects.
SMEs are the backbone of the Australian economy: Through our research and interactions with small business owners, we gained a deep appreciation for the vital role SMEs play in Australia. Comprising 98% of businesses, they truly are the engine driving the nation's economic growth and innovation.
Enhanced backend technical knowledge: The complex nature of our project pushed us to expand our backend development skills significantly. We delved into advanced database management, API development, and system architecture, greatly enhancing our technical capabilities.
Working under pressure: The challenges we faced and the tight deadlines we set for ourselves taught us valuable lessons in working under pressure. We learned to prioritize tasks effectively, communicate clearly under stress, and support each other during intense work periods.
The complexity of financial technology: Developing a fintech solution gave us insights into the intricate world of financial systems, regulations, and the delicate balance between innovation and security.
The power of data and machine learning: Through developing our credit assessment model, we gained practical experience in the potential and limitations of AI and machine learning in real-world applications.
These learnings not only contributed to the success of SMEasy but also equipped us with valuable skills and insights that will serve us well in our future endeavours.
What's next for SMEasy
Future plans for SMEasy may include:
- Expanding to other regions beyond Australia
- Integrating additional financial services
- Partnering with major vendors and financial institutions
- Enhancing the AI model for even more accurate credit assessments
Built With
- firebase
- firestore
- flask
- gcp
- java
- mongodb
- pandas
- python
- react-native
- scikit-learn
- springboot
- thunkable
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