AI and Research Intern

Role Overview: You will be responsible for conducting deep research on AI tools, automation platforms, and early-stage tech startups. Additionally, you will prepare structured reports and insights on product features, business models, and market trends. You will also work with Generative AI models, perform website data scraping and analysis, create SaaS application blueprints and prototypes, and lead generation & outreach using automation-driven methods. This role is open to students from various streams including CS, Analytics, Management, Commerce, or any related field. Key Responsibilities: - Conduct deep research on AI tools, automation platforms, and early-stage tech startups - Prepare structured reports and insights on product features, business models, and market trends - Work with Generative AI models such as OpenAI, Anthropic, Claude, LLaMA, Mistral, etc. - Perform automation and orchestration on platforms like LangChain, n8n, Make, Zapier, Airflow, etc. - Utilize scraping tools/APIs to extract structured data from websites - Organize, clean, and analyze collected data for business insights - Assist in creating wireframes, workflow diagrams, and functional blueprints for SaaS applications - Build low-fidelity prototypes using no-code/low-code or AI-assisted tools - Identify potential leads using research and automated prospecting tools - Set up AI agents and automation tools for lead generation, email sequencing, and outreach campaigns Qualification Required: - Experience with AI models, machine learning, and data analysis - Strong research skills, including conducting literature reviews and preparing research reports - Proficiency in programming languages such as Python or R - Excellent written and verbal communication skills - Ability to work independently and remotely - Familiarity with data visualization tools and techniques - Experience with academic or industry research projects is a plus Role Overview: You will be responsible for conducting deep research on AI tools, automation platforms, and early-stage tech startups. Additionally, you will prepare structured reports and insights on product features, business models, and market trends. You will also work with Generative AI models, perform website data scraping and analysis, create SaaS application blueprints and prototypes, and lead generation & outreach using automation-driven methods. This role is open to students from various streams including CS, Analytics, Management, Commerce, or any related field. Key Responsibilities: - Conduct deep research on AI tools, automation platforms, and early-stage tech startups - Prepare structured reports and insights on product features, business models, and market trends - Work with Generative AI models such as OpenAI, Anthropic, Claude, LLaMA, Mistral, etc. - Perform automation and orchestration on platforms like LangChain, n8n, Make, Zapier, Airflow, etc. - Utilize scraping tools/APIs to extract structured data from websites - Organize, clean, and analyze collected data for business insights - Assist in creating wireframes, workflow diagrams, and functional blueprints for SaaS applications - Build low-fidelity prototypes using no-code/low-code or AI-assisted tools - Identify potential leads using research and automated prospecting tools - Set up AI agents and automation tools for lead generation, email sequencing, and outreach campaigns Qualification Required: - Experience with AI models, machine learning, and data analysis - Strong research skills, including conducting literature reviews and preparing research reports - Proficiency in programming languages such as Python or R - Excellent written and verbal communication skills - Ability to work independently and remotely - Familiarity with data visualization tools and techniques - Experience with academic or industry research projects is a plus