Impactful Project Ideas for your resume

This document compiles a list of project ideas and problem statements curated from
industry professionals, including those working at top startups, YC-backed companies,
and experts in hiring. These ideas are inspired by insights from recruiters, successful
startup founders, and industry blogs, highlighting the types of projects that demonstrate
real-world problem-solving and technical creativity. By building projects based on these
statements, you can create a strong portfolio that resonates with recruiters, showcases
your skills, and aligns with the expectations of leading companies in the tech
ecosystem.

Brief instructions on how students can approach these ideas:

●​ Select a problem statement that aligns with your interests.

●​ Research the problem further to understand its context. Break down the project
into manageable tasks and define clear deliverables.
●​ Build a prototype, start with a MVP to demonstrate the core functionality and
don't copy projects.
●​ Document your learnings and highlight your contributions in your resume and
share link to your project.

Insights and What Recruiters Look For:

Recruiters and companies have diverse hiring preferences, so tailoring your profile to
the role is essential. Depth of expertise often outweighs breadth; for instance, explaining
how you used a tool like Flink in a high-impact project and the challenges you overcame
is more compelling than merely listing it as a skill. Evidence of expertise, such as
StackOverflow contributions, merged pull requests, or technical blog posts, adds
credibility. Avoid cookie-cutter projects like basic sentiment analysis or stock
trading apps unless they offer unique insights. Quantify your impact meaningfully,
linking outcomes to your actions rather than forcing metrics. Be transparent about your
role in team projects and avoid exaggerations that may surface during interviews.
Showcase open-source contributions with curated GitHub profiles and highlight
significant repositories or PRs. Consider creating a personal website for expanded
portfolios and detailed case studies. Focus on outcomes of tasks, such as system
improvements, rather than merely stating tasks performed, as these make excellent
conversation hooks. Lastly, ensure foundational technical clarity, as recruiters value
both fundamental knowledge and advanced expertise.
Software Problem Statements and Project Ideas
Here are a series of curated problem statements and project ideas.

1.​ Chess game: Develop a chess game that allows players to play with their friends
remotely. The game should include features like real-time move updates, player
authentication, a chat function for communication, and a game history tracker.
You can implement this using WebSockets or Firebase for real-time interaction
and integrate it with a user-friendly interface. Consider adding difficulty levels and
an AI opponent for solo play as well.
2.​ Blog Website: Build a blog website where users can read blogs without signing
in. Once signed in, users should be able to create, update, and delete their own
blogs from a personalized dashboard. They should also be able to like, comment,
and reply on other blogs, and follow authors to receive updates when they post
new content. Users can subscribe to a newsletter to get notifications of new
posts. The platform should be scalable, ensuring it can handle increased traffic
and content. It should be available at all times and have low latency for a smooth
reading experience.
3.​ Typeracer: Create a clone of the Typeracer game that allows multiple users to
compete in real-time. Utilize WebRTC to enable direct peer-to-peer
communication between users for seamless race experiences. Players should be
able to join a race, type a given passage as fast as possible, and see their
rankings live as they type. Include features such as a chat system for
communication during the race and a leaderboard to track top performers. The
platform should be scalable to support multiple concurrent races and users,
providing a responsive and engaging experience.
4.​ Netflix Clone: Build a Netflix clone with React.js, focusing on an intuitive and
visually appealing user interface. Implement a robust search functionality with
debouncing for smoother user experience and use well-crafted regex to handle a
variety of search queries effectively. Introduce a feature to limit the number of
simultaneous logins per account, ensuring security and preventing unauthorized
sharing. Store video files on AWS and implement Adaptive Bitrate Streaming
(ABR) to provide the best video quality based on the user's internet speed.
Optimize video delivery by loading videos in chunks, improving loading times and
reducing buffering. Add a notification service to alert users about new content,
recommendations, or account-related updates. This project emphasizes
scalability, performance, and user-centric design, making it a standout addition to
your portfolio.
5.​ Distributed Key-Value Cache: Design and implement a distributed key-value
cache system from scratch, built on top of the TCP protocol. The cache should
allow multiple nodes to communicate and work together to store and retrieve
 data efficiently. Each node in the system should handle a portion of the key-value
pairs, ensuring scalability and even distribution of load. Implement core features
like basic CRUD (Create, Read, Update, Delete) operations for key-value pairs,
data consistency across nodes, and fault tolerance to handle node failures
gracefully. Use techniques like consistent hashing to distribute data evenly and
enable seamless scaling when adding or removing nodes.
6.​ Real-Time Chatbot with Socket.io Integration: Develop a real-time chatbot
system capable of handling client queries efficiently. Build a chat server
integrated with Socket.io to enable instant, bidirectional communication between
clients and the server. The chatbot should provide seamless responses to user
queries, leveraging a predefined set of FAQs or integrating with an AI-based NLP
system for more dynamic interactions. Ensure the chatbot can handle concurrent
user sessions while maintaining low latency and has a persistent chat history for
users.
7.​ AI-Powered Resume Builder: Develop an intelligent resume builder that
generates professional resumes based on user input. Users provide details such
as education, work experience, skills, and achievements through a guided form.
The application uses AI to structure and format the resume, suggest impactful
bullet points, and tailor the content to specific job roles or industries. Incorporate
features like customizable templates, skill recommendations, and real-time
grammar suggestions. The project can be implemented with React.js for the
frontend, a Node.js or Flask backend, and an LLM API for generating optimized
content. This showcases skills in AI integration, UI/UX design, and building
user-centric applications.
8.​ FAQ Chatbot Powered by LLM: Build a simple chatbot that uses an LLM to
answer frequently asked questions in a specific domain, such as college
admissions or travel planning. Users can input queries through a basic web
interface, and the chatbot responds using predefined FAQ context combined with
LLM-generated answers. The project involves creating a frontend with React.js, a
backend with Flask or Node.js for handling LLM API integration, and optional
features like feedback logging and a small database for FAQs. This project is
ideal for showcasing LLM application, API integration, and basic web
development skills.
9.​ AI Resume Analyzer with Feedback: Create an AI-powered tool that evaluates
resumes and provides actionable feedback to improve their quality. Users upload
their resumes, and the system analyzes aspects like formatting, grammar,
keywords, and relevance to a selected job description. The tool uses AI to
highlight strengths, suggest improvements, and recommend specific keywords
based on industry standards. Features can include scoring resumes, pointing out
missing elements (e.g., achievements or metrics), and suggesting a better layout.
 Build the frontend with React.js, the backend with Flask or Node.js, and integrate
an LLM API for content analysis and feedback generation. This project
demonstrates expertise in AI application, backend integration, and user-focused
solutions.
10.​AI-Powered Learning Path Generator: Develop an AI-powered tool that creates
personalized learning paths based on a user’s goals, skills, and preferred
learning style. Users input their current knowledge level, career aspirations, and
topics they want to learn. The tool then generates a customized learning plan,
including courses, books, tutorials, and projects. It can also track progress and
suggest resources based on the user’s learning pace. The project can be built
using React.js for the frontend, a Node.js or Flask backend, and AI to
recommend optimal learning resources. This project highlights skills in AI,
personalized content generation, and application development focused on
education.
11.​Peer-to-Peer File Sharing using WebRTC Data Channels: Create a
peer-to-peer file-sharing application that allows users to send files directly to one
another using WebRTC Data Channels. The application will feature a
drag-and-drop interface for easy file uploads. Users can connect with others via a
unique room code or URL, and the application will establish a WebRTC
connection to facilitate the file transfer. It will support various file types and sizes
while ensuring fast and secure transmission. The project will use HTML, CSS,
JavaScript (with WebRTC), and a lightweight backend for connection
management. This project showcases skills in real-time communication, file
transfer protocols, and frontend development with a focus on user experience.
12.​Collaborative Flowchart and Diagramming Tool: Develop a web-based
collaborative tool that allows users to create, edit, and share flowcharts or
diagrams in real time, similar to Excalidraw. The application should include
drag-and-drop functionality for adding shapes, arrows, and text, with features like
zoom, undo/redo, and customizable styling options. Users can collaborate in real
time, with updates reflected immediately across all participants' screens.
Implement WebSocket or WebRTC for real-time collaboration, and store
diagrams using a backend service like Firebase or a custom Node.js API. The
project will showcase skills in real-time web applications, UI/UX design, and
interactive front-end development.
13.​Improved Video Streaming Platform: Create an enhanced version of a video
streaming platform like Vimeo, featuring improved user experience and advanced
functionalities. Users should be able to upload, watch, like, comment, and share
videos. Implement adaptive bitrate streaming for smooth video playback based
on internet speed. The platform will allow for video categorization, personal
profiles, and the ability to create playlists. Additionally, integrate features like
 video recommendations, notifications for new content, and video privacy settings.
Use React.js for the frontend, Node.js or Python (Flask/Django) for the backend,
and store videos in cloud services like AWS S3 for scalable storage. This project
demonstrates skills in video streaming technologies, user interaction, and
scalable backend architecture.
14.​Testimonial Collection and Integration Platform: Build a platform similar to
Testimonial.io, where companies can collect testimonials from their customers
and easily integrate them into their websites. The platform will allow users
(customers) to submit video, text, or image-based testimonials through an
easy-to-use interface. Companies can create custom testimonial collection forms
and embed them on their website or share them through links. The platform will
offer features like automated email requests for testimonials, approval workflows,
and customizable display options for embedding testimonials on company
websites. Use React.js for the frontend, Node.js for backend services, and cloud
storage like AWS S3 for storing video testimonials. This project showcases skills
in user-generated content, seamless integrations, and backend development.
15.​Collaborative Todo List with Organizations and Task Management: Build a
collaborative todo list application that allows users to create organizations, add
members, and assign tasks with reminders. Each organization can have multiple
teams, and members can be assigned specific tasks with due dates and priority
levels. Users can set reminders for tasks, track progress, and collaborate through
comments or file attachments. The app will also allow users to create, update,
and delete tasks within an organization, with the ability to filter tasks by status or
assigned person. Implement user authentication, role-based access, and
notifications. The frontend can be built with React.js, and the backend with
Node.js or Flask, with task data stored in a relational database like PostgreSQL.
This project highlights team collaboration features, task management, and
real-time notifications.
16.​Multi-Threaded Web Proxy Server in C: Develop a multi-threaded web proxy
server in C to handle HTTP requests, providing features like caching and
connection pooling. The proxy server will intercept client requests, forward them
to the appropriate server, and relay the responses back to the client. This project
provides a deep understanding of system programming concepts like thread
management, memory allocation, and efficient data handling.
17.​Personal Website Styled Like macOS: Create a personal website that mimics
the look and feel of macOS, featuring a desktop-style interface with windows,
icons, and a taskbar. The website should be fully responsive, simulating the
macOS experience with draggable windows, interactive buttons, and smooth
animations. Users can open and close windows, resize them, and interact with
various elements like a "dock" that holds shortcuts to different sections of the
 website (e.g., About Me, Portfolio, Resume, Contact).This project allows you to
showcase advanced UI/UX design skills while creating a unique and creative
personal website that stands out.
18.​Weather Forecast App using Leaflet and OpenWeather API: Create a
weather forecast app that displays real-time weather information on an
interactive map using Leaflet.js and the OpenWeather API. The app should allow
users to search for locations, view current weather conditions, and get a forecast
for the next few days. Mark the selected location on the map with a weather icon
representing the current weather. Integrate features like temperature, humidity,
wind speed, and weather descriptions for each location. Use Leaflet for map
rendering and OpenWeather’s API to fetch weather data. This project highlights
skills in integrating APIs, working with maps, and handling dynamic weather data
in a user-friendly interface.
19.​CLI Tool for Bash Command Autocompletion: Develop a command-line
interface (CLI) tool that enhances the user experience by providing
autocompletion for bash commands. The tool will automatically suggest
commands, file paths, and options as the user types in the terminal, similar to
how the default bash autocompletion works, but with additional customizations. It
will support dynamic autocompletion based on user history and available system
commands. You can extend this tool to include advanced features like fuzzy
matching, personalized suggestions, and integration with user-defined scripts.
Implement this project using Python or Go, and leverage bash completion
libraries to make it compatible with various terminal setups. This project
demonstrates proficiency in scripting, terminal utilities, and improving productivity
for developers working in the command line environment.

VLSI and Semiconductor Problem Statements and Project

Ideas - Intern Focus
1.​ Traffic Light Controller
○​ Problem Statement: Design and implement a Verilog-based traffic light
controller that manages a four-way intersection. Include features like
pedestrian crossing, emergency vehicle prioritization, and adaptive timing
based on traffic density. Verify functionality using simulation tools.
○​ Outcome: Demonstrate traffic flow optimization and verify state machine
transitions.
2.​ Vending Machine Controller
○​ Problem Statement: Develop a vending machine controller in Verilog that
accepts coins of different denominations, calculates balance, and
 dispenses items. Add features like low-stock warning and refund
functionality for canceled orders.
○​ Outcome: Create a robust design with minimal timing delays and simulate
test cases for different scenarios.
3.​ Digital Stopwatch
○​ Problem Statement: Implement a digital stopwatch in Verilog capable of
measuring time in seconds and milliseconds. Include features for start,
stop, pause, and reset operations.
○​ Outcome: Validate timing accuracy and functionality through simulation.
4.​ Pulse Width Modulation (PWM) Generator
○​ Problem Statement: Create a PWM signal generator in Verilog with
variable duty cycle control. The duty cycle should be adjustable using
switches or input signals, with a focus on low-latency response.
○​ Outcome: Verify the output waveform for different duty cycles through
simulations.
5.​ Elevator Controller
○​ Problem Statement: Design a controller for a three-floor elevator system
using Verilog. Include features for button priority, overload detection, and
door safety mechanisms.
○​ Outcome: Verify functionality using a state machine model and edge-case
simulations.
6.​ Temperature Monitoring System
○​ Problem Statement: Implement a temperature monitoring system in
Verilog using sensor input. Design the system to trigger alerts when
temperatures exceed predefined thresholds.
○​ Outcome: Simulate various input scenarios and validate response
accuracy.
7.​ Memory Controller Design
○​ Problem Statement: Develop a Verilog-based SRAM controller to
manage read and write operations. Include burst mode support and error
detection using parity bits.
○​ Outcome: Optimize latency and validate error detection through
simulations.

VLSI Project Ideas (FTE-focused)

1.​ RISC-V Processor Design
○​ Problem Statement: Design a simplified RISC-V processor supporting
basic arithmetic, logical, and control instructions. Include a pipeline
architecture and simulate its performance under various workloads.
 ○​ Outcome: Analyze latency, throughput, and area utilization.
2.​ General 8-bit Processor
○​ Problem Statement: Develop an 8-bit processor with ALU, instruction
memory, and basic peripherals. Include custom instructions for optimized
performance in specific use cases.
○​ Outcome: Evaluate power consumption and efficiency.
3.​ Design of Digital Filters Using DSP
○​ Problem Statement: Implement Finite Impulse Response (FIR) and
Infinite Impulse Response (IIR) digital filters in Verilog. Optimize the
design for high-speed data processing applications.
○​ Outcome: Validate filter performance using testbench inputs.
4.​ Error Correction Code Implementation
○​ Problem Statement: Design and implement a Hamming Code error
correction module in Verilog to detect and correct single-bit errors during
data transmission.
○​ Outcome: Ensure robust error correction and validate efficiency.
5.​ Cache Memory Design
○​ Problem Statement: Create a Verilog-based direct-mapped cache
system with configurable block sizes and associativity. Include features for
hit/miss tracking and latency optimization.
○​ Outcome: Analyze cache hit rates and performance.
6.​ PLL (Phase-Locked Loop) Design
○​ Problem Statement: Design a Verilog model of a Phase-Locked Loop
(PLL) for frequency synthesis applications. Include a feedback mechanism
for dynamic frequency adjustments.
○​ Outcome: Simulate phase lock-in under varying input frequencies.
7.​ Floating-Point Arithmetic Unit
○​ Problem Statement: Develop a Verilog-based floating-point arithmetic
unit supporting addition, subtraction, multiplication, and division.
○​ Outcome: Validate IEEE-754 compliance and performance under different
workloads.
8.​ UART (Universal Asynchronous Receiver-Transmitter) Design
○​ Problem Statement: Design a Verilog-based UART module for serial
communication. Include configurable baud rates and error detection
mechanisms.
○​ Outcome: Ensure data integrity and verify via loopback tests.
9.​ DSP Processor for Audio Processing
○​ Problem Statement: Design a specialized DSP processor for audio
applications. Include modules for equalization, noise reduction, and
dynamic range compression.
 ○​ Outcome: Simulate real-time audio processing scenarios.
10.​Pipeline Hazard Detection Unit
○​ Problem Statement: Implement a pipeline hazard detection and
resolution unit for a pipelined processor. Address both data and control
hazards efficiently.
○​ Outcome: Test for accurate instruction execution under various
workloads.

Design Related Project Ideas

1. Platform to Connect Volunteers with NGOs for Skill-Based Projects

●​ Problem Statement: Develop a platform to bridge the gap between skilled

volunteers and NGOs seeking expertise for projects such as web
development, content creation, or event planning. The platform should
support project matching based on skills, location, and availability.
●​ Outcome: Create an inclusive ecosystem where NGOs can post projects,
volunteers can apply, and both parties can track progress. Enable feedback
and rating systems to enhance credibility.

2. Pregnancy Care App

●​ Problem Statement: Build a user-friendly app for pregnant individuals to

manage doctor appointments, track medication schedules, and monitor
baby development milestones. Include personalized reminders and health
tips.
●​ Outcome: Enhance prenatal care with features like a calendar, milestone
tracker, and medication reminders, promoting better health management
and reducing missed appointments.

3. App to Simplify Complex STEM Concepts

●​ Problem Statement: Create an educational app that uses animations,

interactive simulations, and quizzes to simplify STEM concepts for
students. Include modules aligned with school and college curricula.
●​ Outcome: Improve learning outcomes by offering an engaging, visual way
to grasp abstract concepts, fostering curiosity and deeper understanding.

4. Collaborative Project Management App for Freelancers and Small Teams

 ●​ Problem Statement: Design a project management app tailored for
freelancers and small teams. Include features for task allocation, time
tracking, communication, and invoice generation.
●​ Outcome: Simplify project collaboration, improve productivity, and reduce
administrative overhead with an intuitive and efficient tool.

5. Platform to Connect Local Artists with Event Organizers

●​ Problem Statement: Develop a platform where local artists (musicians,

dancers, painters, etc.) can showcase their portfolios and connect with
event organizers looking for talent. Include features like availability
calendars and booking management.
●​ Outcome: Empower artists by increasing opportunities and streamline
talent acquisition for event organizers.

6. App for Exploring Hidden Local Gems and Cultural Experiences

●​ Problem Statement: Create a travel app that highlights lesser-known

attractions, local eateries, and cultural activities. Incorporate personalized
recommendations and a community-driven review system.
●​ Outcome: Encourage travelers to explore offbeat experiences, supporting
local businesses and promoting sustainable tourism.

7. Expense-Sharing App for Roommates and Groups

●​ Problem Statement: Build an app that simplifies expense tracking and

sharing among roommates or group members. Include features for splitting
bills, settling balances, and generating expense reports.
●​ Outcome: Reduce financial conflicts with an easy-to-use app that ensures
transparency and accountability in shared expenses.

8. Platform to Prevent Wastage of Unused Food

●​ Problem Statement: Design a platform where individuals, restaurants, and

grocery stores can donate unused or surplus food to NGOs or individuals
in need. Include geolocation features for efficient pickups.
●​ Outcome: Minimize food wastage and hunger by facilitating seamless
connections between donors and recipients.

9. Smart Camera App for Posing and Photography

 ●​ Problem Statement: Develop a camera app that offers AI-powered suggestions
for poses, framing, and lighting. Include real-time feedback to improve photo
quality and creativity.
●​ Outcome: Enable users to take professional-quality photos without needing
advanced photography skills.

10. Marketplace App for Renting or Swapping Pre-Loved Fashion Items

●​ Problem Statement: Create a marketplace app for renting, swapping, or selling

pre-loved fashion items. Include features for secure transactions, product
authenticity checks, and styling recommendations.
●​ Outcome: Promote sustainable fashion by extending the lifecycle of clothing and
accessories while offering cost-effective options for users.

Analytics Problem Statement and Project Ideas

1:How can a retail company utilize customer demographic and purchasing data to identify
distinct customer segments through clustering techniques, enabling the development of targeted
marketing strategies to enhance customer engagement and increase sales?

Dataset:https://drive.google.com/file/d/1TnpIldQFcAbtCvwfsKWrR6JpXGr1u1pK/view?usp=shar
ing

2:Vehicle insurance fraud, such as staged accidents and exaggerated claims, leads to
significant financial losses for insurers. Using a dataset with vehicle attributes, accident details,
and policy information, the objective is to develop a fraud detection model to identify fraudulent
claims, uncover key risk factors, and enhance prevention strategies to reduce fraud and
streamline claim processing.

Dataset:https://drive.google.com/file/d/1nayP8RwbLxZvQi6zJQF6GIn9SsXCfY0C/view?usp=sh
aring

3:Disney+ is a leading media streaming platform with over 1300 titles and 116M global
subscribers as of mid-2021. Leveraging a comprehensive dataset containing details like cast,
directors, ratings, release years, and durations, this analysis aims to uncover insights into
content availability, trends, and patterns.

Key objectives include:

 ●​ Exploring content distribution across different countries.
●​ Identifying similar titles using text-based feature analysis.
●​ Conducting network analysis of actors and directors to reveal relationships and
collaborations.
●​ Investigating Disney+'s focus on TV shows versus movies in recent years.

This study will provide actionable insights into content strategy and audience engagement for
streaming platforms.

Dataset:https://drive.google.com/file/d/1nFce_RoFhOK8aapYmNMyWOXAHu3e5mBZ/view?us
p=sharing

4:Accurate demand forecasting is essential for meal delivery companies to ensure efficient
operations and customer satisfaction. This project focuses on predicting demand for the next 10
weeks (Weeks: 146–155) for specific center-meal combinations, enabling:

●​ Optimized raw material procurement to minimize waste.

●​ Streamlined staffing plans for fulfillment centers.
●​ Improved readiness to meet customer demand.

The output of this prediction will empower the company to make data-driven decisions, enhance
operational efficiency, and support sustainable business growth.

Dataset: Food Demand Forecasting Dataset

5:Codeforces, a leading competitive programming platform, provides valuable data for analyzing
user performance and progression. This dataset focuses on two machine learning tasks:

1.​ Classification Task: Predicting the rank type of users (rank-type) based on their
performance in ten contests.
2.​ Regression Task: Estimating the maximum rating (rating) achieved by users using
their contest performance data.

Objective:​
The goal is to build models that can:

●​ Accurately classify users into skill levels to identify expertise and engagement.
●​ Predict maximum ratings to understand potential improvements and factors influencing
performance.

Impact:​
Applications include talent identification, skill development, and enhancing training and
recruitment strategies in education and competitive programming communities.
Dataset: Codeforces Dataset

6:The logistics network for fulfilling customer orders faces inefficiencies due to outdated routing
strategies, discontinued carriers, and suboptimal warehouse capacities. The current system
must adapt to constraints such as warehouse-product compatibility, customer-specific routing
restrictions, and transportation cost-effectiveness. Additionally, historical data indicates the need
to realign routing strategies with new freight rate structures and carrier availability to minimize
costs and ensure timely deliveries.

The objective is to develop a regression model to predict transportation costs and a

classification model to determine the optimal carrier and warehouse for each order. This
solution will optimize the supply chain, minimize costs, and improve customer satisfaction by
meeting delivery deadlines within capacity and weight constraints.

Dataset: Supply chain logistics problem.xlsx

7:Efficiently forecasting pharmaceutical drug sales is crucial for inventory optimization and
ensuring availability for patients. This dataset, covering six years (2014–2019) of transactional
data for 57 drugs classified under the ATC system, enables the prediction of sales quantities
across hourly, daily, weekly, and monthly scales. The task involves building a regression model
to identify patterns, predict sales, and support proactive inventory and demand management.

Dataset: Pharma Dataset

8:Despite ongoing efforts to address police violence, the United States continues to experience
a significant number of fatal police shootings annually. Notably, Black civilians are
disproportionately affected, with higher rates of fatal encounters compared to other racial
groups.

The objective is to analyze the "US Police Shootings" dataset to identify patterns and
correlations that may contribute to these incidents. Key areas of focus include:

●​ Racial Disparities: Investigating the extent to which race influences the likelihood of
being involved in a police shooting.​

●​ Mental Health Factors: Assessing the prevalence of mental illness among individuals
involved in these incidents.​
 ●​ Impact of Body Cameras: Evaluating whether the presence of police body cameras
affects the outcomes of these encounters.​

This analysis aims to inform policy decisions and training programs to reduce the incidence of
fatal police shootings and address systemic biases within law enforcement practices.

Dataset: Police Shooting Dataset

9:Student depression is a critical issue, with far-reaching impacts on academic performance,

personal well-being, and future prospects. This dataset offers a comprehensive view of factors
influencing depression among students, including demographics, academic performance,
lifestyle habits, and satisfaction levels across various domains.

The objective is to analyze this dataset to identify key predictors of depression and understand
their relative significance. Key focus areas include:

●​ Academic and Work Pressures: How do academic and professional demands

contribute to depression?
●​ Lifestyle Factors: How do sleep duration, dietary habits, and study/job satisfaction
correlate with mental health?
●​ Demographic Patterns: Are there differences in depression prevalence based on age,
gender, or location?

This is a classification task aimed at predicting a student's depression status (Yes/No).

Insights from this analysis can help design early intervention strategies, improve mental health
support, and foster environments that promote student well-being.

Dataset: Student Depression Dataset

10:Despite global advancements, significant disparities persist in human development across

different regions and countries. Understanding the trends and factors contributing to these
disparities is crucial for policymakers and development agencies.

The objective is to analyze the "Human Development Index (HDR) Dataset [1990-2022]" to:

●​ Identify Trends: Examine how HDI values have evolved over time globally and
regionally.​

●​ Uncover Disparities: Detect countries or regions that have experienced stagnation or

decline in human development.​
 ●​ Determine Contributing Factors: Assess the impact of individual components—health,
education, and income—on the overall HDI to understand which areas require targeted
interventions.​

This analysis aims to provide insights that can inform policy decisions, allocate resources
effectively, and design strategies to address inequalities in human development.

Dataset: Human Development Index Dataset

11:As a cricket analyst, the goal is to analyze Cricket World Cup data to uncover patterns in
team strategies, player performances, and match dynamics. Using match-level and ball-by-ball
data, this analysis aims to refine strategies and enhance decision-making for future
tournaments. Key questions driving the analysis are detailed in the accompanying PPT.

PPT: CWC_Campus_Case_PPT v1.pptx

Dataset: CWC_Campus_Case_Dataset v1.xlsx

Consulting Problem Statement

1:Charting India’s Path to 100 Medals in the 2036 Olympics, Including 35 Golds: Strategies for
Talent Development, Infrastructure, and Global Competitiveness in Sports.

2:Transforming BSNL into a Profitable and Competitive Telecom Giant: A Strategic Blueprint for
Financial Revival, Digital Transformation, and Market Penetration.

3:Positioning India as a Global Semiconductor Hub: Addressing Policy, Talent, and

Infrastructure Challenges to Build a Self-Sufficient Semiconductor Ecosystem.