About the program

The Web Development with Data Science internship offers students and aspiring professionals the opportunity to gain practical exposure in building modern web applications integrated with data science techniques. This program is designed to combine front end and back end web development skills with the analytical and problem solving mindset of data science. Interns will learn how to design interactive websites, connect them with databases, and apply machine learning and data analytics models to deliver intelligent insights to users. During the course of the internship, participants will work on real world projects that involve developing responsive websites, collecting and storing data, processing large datasets, and integrating predictive models into applications. The focus will be on creating full stack web applications where data driven decision making plays a key role. Interns will also explore topics such as data visualization on the web, API integration, and cloud deployment to make applications scalable and user friendly. Key responsibilities of the internship include designing user interfaces using modern frameworks, managing server side development, creating and maintaining structured databases, cleaning and analyzing data, building machine learning models, and integrating these models with web applications to provide meaningful insights in real time. The program provides hands on training with industry relevant tools and technologies. Interns will be guided in using Python, JavaScript, HTML, CSS, and frameworks like React or Angular for front end development. For back end, exposure to Node.js, Django, or Flask will be provided. Data science aspects will include Python libraries such as Pandas, NumPy, Scikit Learn, and visualization tools like Matplotlib and Plotly. Interns will also work with MySQL or MongoDB for database management and explore cloud platforms such as AWS or Google Cloud for deployment. This internship is suitable for students of computer science, information technology, artificial intelligence, and data science who want to build a strong portfolio by merging the fields of web technologies and data analytics. By the end of the internship, participants will have the ability to design, implement, and deploy intelligent web applications that can analyze data, learn from it, and provide automated recommendations or predictions. The internship emphasizes problem solving, creativity, and teamwork. Interns will work in collaborative groups and may present their projects to mentors or industry experts for feedback. This experience will help participants build confidence in applying both web development and data science concepts to practical scenarios, making them job ready for careers in full stack development, data driven application design, and AI powered software solutions.

Perks

Hands on experience in both web development and data science Guidance from industry experts and mentors Opportunity to work on real world projects and case studies Internship completion certificate Flexible work hours with remote learning support Access to learning resources and coding practice materials Opportunity to build portfolio projects for resumes and job applications Exposure to modern tools, frameworks, and cloud platforms Recommendation letter for top performing interns

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 02 Months
4. have relevant skills and interests

Terms of Engagement

The internship is designed for students and fresh graduates interested in web development and data science Duration of the internship will typically range from 4 to 12 weeks depending on project requirements Interns are expected to dedicate a minimum of 15 to 20 hours per week for assigned tasks and project submissions All interns must maintain professional conduct, discipline, and timely communication throughout the internship period Projects and assignments submitted by the interns will be considered as part of the organization’s property and can be used for research or demonstration purposes Regular progress reviews and evaluations will be conducted by mentors Interns must strictly adhere to deadlines and quality standards set by the team The organization reserves the right to terminate the internship in case of misconduct, plagiarism, or non performance On successful completion of the internship, participants will receive an internship completion certificate and performance feedback

Number of openings

2