Artificial Intelligence & Machine Learning Application

Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. (Key is to build a "deployable" solution

Product Search Ranking

Update and create a better product search ranking algorith. This will allow the user to have a relevant product results. For Example: ranking clothes and shoes above accessories and books when there is no search query. Example 2: Search Query "cashmere sweater", the system return Cashmere Sweaters not products that has the word cashmere and another product that has sweater in its description.

API Integration Expansion Project

The main goal for the project is to identify and assess new APIs that can enhance Voiceflip's data ingestion platform and assist in the integration of selected APIs. This will involve several different steps for the interns, including: - Conducting market research to identify APIs available in the real estate and related domains. - Evaluating each API based on predefined criteria such as data quality, API documentation, pricing structures, and user reviews. - Calculating the potential impact of integrating each API on Voiceflip's data ingestion platform through a cost-benefit analysis. - Presenting findings and recommending the top APIs for integration, providing a rationale for their choices. - Assisting the technical team in the initial stages of integration, which may include setting up API keys and basic data feed configurations.

Voice Integration and Data Quality Testing

The main goal for the project is to ensure that Voiceflip's Consumer Voice Assistant for Real Estate Websites functions seamlessly and that the data it generates is accurate and reliable. The intern will work closely with the technical team and play a key role in verifying the performance of the voice assistant. This will involve several different steps for the intern, including: - Collaborating with the development team to understand the voice integration components of the product. - Conducting thorough testing of voice recognition and interaction capabilities. - Identifying and reporting any issues related to voice input, response accuracy, and dialog flow. - Exploring Voiceflip's data output processes and pipelines. - Creating test cases and scenarios to validate the quality and consistency of data generated by the platform. - Performing regression testing to ensure that recent updates or changes have not introduced new issues. - Evaluating the user experience of the voice integration feature from an end-user perspective. - Documenting all test cases, test results, and any defects or issues discovered during testing.