REAL WORLD IMPACT !
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Join our exclusive Cohort
Hexart.In's exclusive Cohort program offers a unique, no-cost opportunity for students passionate about AI to engage in immersive internships. Participants gain hands-on experience through real-time projects, guided by industry experts, at our state-of-the-art Hyderabad community center featuring cutting-edge technologies.
This program empowers talented students to unlock their full potential in AI, working on high-impact projects aligned with UN SDGs, collaborating with industry experts, receiving government support, and accessing grants, with top-tier industry placement opportunities for exceptional performers.
This program empowers talented students to unlock their full potential in AI, working on high-impact projects aligned with UN SDGs, collaborating with industry experts, receiving government support, and accessing grants, with top-tier industry placement opportunities for exceptional performers.
Why apply?
- Work on high-impact AI projects addressing real-world challenges aligned with UN SDGs.
- Collaborate directly with industry experts and receive government support.
- Access grants and top-tier industry placement opportunities.
- Gain hands-on experience with cutting-edge technologies at our state-of-the-art Hyderabad center.
- Develop exceptional skills and excellence in AI.
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Image Style Transfer
Project Description: To develop an AI application that changes the style of an image based on other image Our team developed a model which takes 2 images as input and we extracted features from the style image and applied those features to the first (content) image so that the style of our image changes according to our requirement. We have used VGG 19 architecture which is a Convolution Neural Network and is 19 layers deep. It can classify images into 1000 object categories. Hence it is widely used. The style of the image has been changed according to the style image which we provided.
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Tuberculosis Detection
Project Description: The problem statement is about Tuberculosis Disease Identification. It uses the x- ray image dataset. It can be achieved through many different techniques. We are using the Deep Learning technique to identify whether a person is suffering with TB or not. Solution for this problem is very much important because it is the kind of disease which requires early attention or else it might show long- term effects and even the victim’s lives might also be in danger.We completed it in a time span of 3 weeks.
Optical Character Recognition
Project description: We a Machine Learning model using the dataset downloaded from an open-source. We adjusted the pixel resolution and size of the images and turned it to grayscale. We used Machine Learning model called Recurrent Neural Network (RNN). We used python (Google Colab) for developing the code. When the target image is given to the model, it returned output as machine editable text along with probability.
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Automated Data Extractor
Project Description: We have developed an automated search engine which extracts the data from e-commerce websites we first extracted the product links through a link extractor module. We then built a crawler to collect specifications, reviews, images, Product description of every product from the respective modules. Putting all together we then built a Crawler Manager which takes product category as user input and this input is passed to the link extractor which simultaneously passes the links returned from link extractor module to the crawler module to collect the data of the products. Finally data is collected in the dictionary format and stored into a json file.
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