Project Title : EV STATION - Electric Vehicle Adoption & Usage Analysis Across Regions

Objective:

To analyze the growth, distribution, and classification of electric vehicles (EVs) across various regions. This project highlights trends in EV adoption, vehicle types, manufacturer popularity, and advancements in battery technology. Insights are visualized through interactive dashboards to support data-driven decisions in sustainable transportation.

Key Focus Areas:

• Regional Adoption Trends

• Vehicle Type Distribution (e.g., BEV, PHEV, HEV)

• Manufacturer Market Share & Popularity

• Battery Technology & Efficiency Analysis

• Time-Series Trends in EV Growth

• Interactive Dashboards for Data Exploration

Datasets:
(To be provided below. Typically includes electric vehicle registration records with attributes such as vehicle type, manufacturer, battery capacity, charging type, model year, region of registration, and adoption timeline.)

Project Title : Startup Investment And Growth Insights Dashboard

Objective:

To explore startup ecosystems by analyzing investment patterns, funding rounds, sector growth, and investor behavior. The project aims to visualize key metrics that influence startup success and uncover emerging opportunities in the innovation landscape through interactive dashboards.

Key Focus Areas:

• Funding Rounds & Investment Trends

• Sector-Wise Growth & Performance

• Investor Activity & Preferences

• Startup Valuations Over Time

• Geographical Distribution of Startups

• Insights Into Emerging Markets & Innovation Hotspots

Datasets:
(To be provided below. Typically includes startup funding data with attributes such as startup name, founding year, industry sector, funding round type, amount raised, investor details, company valuation, and geographic location.)

Project Title : Darknet Network Traffic Analysis For Intrusion Detection

Objective:

To analyze darknet network traffic data for detecting suspicious activities and potential intrusions. The project focuses on identifying anomalies, attack patterns, and malicious behavior using machine learning techniques and visualizing security insights through interactive dashboards.

Key Focus Areas:

• Traffic Pattern Analysis

• Anomaly & Intrusion Detection using ML

• Classification of Network Attacks (e.g., DoS, DDoS, Probe)

• IP Address Behavior Profiling

• Temporal Trends in Malicious Traffic

• Security Dashboard for Real-time Monitoring

Datasets:
(To be provided below. Typically includes darknet traffic logs with attributes such as source and destination IPs, ports, protocol types, timestamps, packet sizes, attack labels, and connection durations.)

Project Title : Global Impact Analysis Of AI-Generated Content

Objective:

To analyze the global influence, adoption, and perception of AI-generated content across various sectors including media, education, marketing, and entertainment. This project visualizes content trends, public sentiment, regional adoption, and ethical implications using interactive and insightful dashboards.

Key Focus Areas:

• Sector-wise Adoption of AI-Generated Content

• Global and Regional Usage Trends

• Public Sentiment and Perception Analysis

• Content Authenticity and Misinformation Detection

• Ethical and Legal Considerations

• Interactive Dashboards for Trend Monitoring and Insights

Datasets:
(To be provided below. Typically includes datasets with AI-generated content usage statistics, social media sentiment data, regional adoption metrics, survey responses, industry-specific reports, and ethics-related case studies.)